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PRISM Mentors

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PRISM supports all faculty in recruiting postdocs. The faculty listed on this page have expressed special interest in the PRISM program and may be actively recruiting. This is one of many ways to identify potential postdoc mentors; also review the guidance and links in the PRISM Application Guide for other ways to explore Stanford faculty. As you look for potential postdoc mentors, consider how faculty research interests align with your own.

Faculty: to create a profile, click "Log In" at the top right corner, then the "PRISM Faculty Opt In" button below. To edit an existing profile, click "Log In" at the top right corner, then the "Edit" button under your name/department/URL.

 

PRISM Faculty Opt-In   Displaying 151 - 200 of 568
PRISM mentorsort descending Research Interests

Eric Kool

Chemistry
Professor
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Chemistry


Last Updated: January 29, 2023

The Kool lab uses the tools of chemistry and biology to study the structures, interactions and biological activities of nucleic acids and the enzymes that process them. Molecular design and synthesis play a major role in this work, followed by analysis of structure and function, both in vitro and in living systems. These studies are aimed at gaining a better basic understanding of biology, and applying this knowledge to practical applications in biomedicine.

Recent research interests include the development of chemical tools for mapping RNA structure and interactions in cells, methods for stabilization and conjugation of RNAs, and the development of probes of DNA repair pathways and their connections to cancer.

Eric Pop

Electrical Engineering, Materials Sci & Engineering
Professor
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Electrical Engineering, Materials Sci & Engineering


Last Updated: January 27, 2023

The Pop Lab is a research group led by Prof. Eric Pop in Electrical Engineering (EE) and Materials Science & Engineering (MSE) at Stanford University. We are located in the Paul Allen Center for Integrated Systems (CIS), working in the Stanford Nanofabrication Facility (SNF) and the Stanford Nano Shared Facilities (SNSF). We are affiliated with the Stanford SystemX Alliance and the Non-Volatile Memory Technology Research Initiative (NMTRI).

Our research is at the intersection of nanoelectronics and nanoscale energy conversion, exploring topics such as:

  • Energy-efficient transistors, data storage (memory), and thermoelectrics
  • 2D materials (graphene, h-BN, MoS2, WSe2,...) and phase-change materials (GST, VO2)
  • Fundamental physical limits of current and heat flow, e.g. ballistic electrons and phonons
  • Applications of nanoscale energy transport, conversion and harvesting

Our work includes nanofabrication, characterization, and multiscale simulations. On-campus collaborations include Materials Science, Physics, Chemical and Mechanical Engineering, and off-campus they range from UIUC, UC Davis, Georgia Tech, UT Dallas, Univ. of Tokyo and Singapore (NUS), to TU Wien, Univ. Bologna and Poli Milano.

To learn more about us, please visit http://poplab.stanford.edu

Eric Pop

Electrical Engineering, Materials Sci & Engineering
Professor
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Electrical Engineering, Materials Sci & Engineering


Last Updated: January 27, 2023

The Pop Lab is a research group led by Prof. Eric Pop in Electrical Engineering (EE) and Materials Science & Engineering (MSE) at Stanford University. We are located in the Paul Allen Center for Integrated Systems (CIS), working in the Stanford Nanofabrication Facility (SNF) and the Stanford Nano Shared Facilities (SNSF). We are affiliated with the Stanford SystemX Alliance and the Non-Volatile Memory Technology Research Initiative (NMTRI).

Our research is at the intersection of nanoelectronics and nanoscale energy conversion, exploring topics such as:

  • Energy-efficient transistors, data storage (memory), and thermoelectrics
  • 2D materials (graphene, h-BN, MoS2, WSe2,...) and phase-change materials (GST, VO2)
  • Fundamental physical limits of current and heat flow, e.g. ballistic electrons and phonons
  • Applications of nanoscale energy transport, conversion and harvesting

Our work includes nanofabrication, characterization, and multiscale simulations. On-campus collaborations include Materials Science, Physics, Chemical and Mechanical Engineering, and off-campus they range from UIUC, UC Davis, Georgia Tech, UT Dallas, Univ. of Tokyo and Singapore (NUS), to TU Wien, Univ. Bologna and Poli Milano.

To learn more about us, please visit http://poplab.stanford.edu

Erin Mordecai

Biology, Woods Institute
Associate Professor
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Biology, Woods Institute


Last Updated: January 12, 2022

Our research investigates how environmental changes like climate and land use change are affecting infectious diseases in humans and wildlife. We use tools from disease ecology, including mathematical and statistical models, health surveillance data, remotely sensed data, laboratory experiments, and field surveys to better understand the mechanisms by which changes in temperature and habitat affect vectors and disease transmission. 

Erin Mordecai

Biology, Woods Institute
Associate Professor
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Biology, Woods Institute


Last Updated: January 12, 2022

Our research investigates how environmental changes like climate and land use change are affecting infectious diseases in humans and wildlife. We use tools from disease ecology, including mathematical and statistical models, health surveillance data, remotely sensed data, laboratory experiments, and field surveys to better understand the mechanisms by which changes in temperature and habitat affect vectors and disease transmission. 

Eugene Butcher

Pathology
Professor
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Pathology


Last Updated: July 13, 2022

We are interested in fundamental aspects of cell-cell recognition, migration and development with the mammalian immune and vascular systems as  models. We use molecular, genetic and single cell transcriptomic and mass cytometric approaches to study  the development and trafficking of  lymphocytes, NK cells and dendritic cells and their role in immune function in health and diseases. 
 
The vascular endothelium controls immune cell recruitment from the blood,  and thus determines the nature and magnitude of immune and inflammatory responses.     In a major new effort, we are applying single cell approaches (scRNAseq and mass cytometry), and novel computational approaches to probe endothelial cell specialization and responses in models of immune and tumor angiogenesis and inflammation.  
 
Although our focus is on fundamental problems in biology, the work is intrinsically translational and the laboratory is interested in applying its  discoveries to models of infection and immune pathology: examples include genetic studies of GPCR's and assessment of novel therapeutics in models of inflammatory bowel disease, psoriasis, cancer, aging and infection.
 
We are actively recruiting fellows with experience in biocomputation and coding who can take advantage of the datasets we are generating;   or experience in vascular biology, immunology,  imaging and cytometry.

Everett Meyer

Med: Bone Marrow Transplant, Stanford Cancer Center
Assistant Professor
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Med: Bone Marrow Transplant, Stanford Cancer Center


Last Updated: August 13, 2020

Everett Meyer

Med: Bone Marrow Transplant, Stanford Cancer Center
Assistant Professor
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Med: Bone Marrow Transplant, Stanford Cancer Center


Last Updated: August 13, 2020

Everett Moding

Radiation Oncology
Assistant Professor
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Radiation Oncology


Last Updated: March 14, 2022

We perform translational cancer research by analyzing human tissue and blood samples with next-generation sequencing to understand the genetic underpinnings and expression signatures that determine treatment response and resistance. We use genetically engineered mouse models to validate our findings, perform mechanistic experiments, and test new therapies. Our ultimate goal is to translate our findings to the clinic to improve outcomes for patients with cancer.

Fatima Rodriguez

Med: Cardiovascular Medicine
Assistant Professor
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Med: Cardiovascular Medicine


Last Updated: November 01, 2022

The Health Equity Advancement through Research and Technology (HEART) Lab, led by Dr. Fatima Rodriguez, aims to develop innovative approaches to understanding and eliminating cardiovascular disease health disparities across diverse and understudied populations. Prior and current projects seek to identify the source of inequities in cardiovascular disease by race, ethnicity, language, sex, age, and more. We have documented extensive barriers to guideline adherence to cardiovascular prevention recommendations and how these result in adverse clinical outcomes. Several projects also center around Hispanic cardiovascular health and prevention. We have published work highlighting the importance of disaggregation of Hispanic individuals by background, acculturation, and socioeconomic factors. We are also interested in using novel AI/machine learning approaches in the electronic health record to improve cardiovascular risk prediction and treatment for understudied populations, including historically marginalized racial/ethnic patient groups and older adults. Other areas of focus include promoting digital health equity by studying telemedicine access and utilization, especially after the expansion of virtual care following the COVID-19 pandemic. Our research also explores reasons and solutions to increase workforce diversity in cardiovascular medicine and representation of diverse groups in guideline-informing clinical trials.

Flora Novotny Rutaganira

Biochemistry, Developmental Biology
Assistant Professor
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Biochemistry, Developmental Biology


Last Updated: August 15, 2023

The FUNR Lab, lead by Flora Rutaganira uses choanoflagellates—the closest living single-celled relatives to animals—to study the origin of animal cell communication. We apply chemical, genetic, and cell biological tools to probe choanoflagellate cell-cell communication. We hope that our research has implications for understanding not only animal cell signaling, but also the origin of multicellularity in animals.

Flora Novotny Rutaganira

Biochemistry, Developmental Biology
Assistant Professor
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Biochemistry, Developmental Biology


Last Updated: August 15, 2023

The FUNR Lab, lead by Flora Rutaganira uses choanoflagellates—the closest living single-celled relatives to animals—to study the origin of animal cell communication. We apply chemical, genetic, and cell biological tools to probe choanoflagellate cell-cell communication. We hope that our research has implications for understanding not only animal cell signaling, but also the origin of multicellularity in animals.

Gary Peltz

Chemical and Systems Biology
Professor
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Chemical and Systems Biology


Last Updated: January 12, 2022

The Peltz laboratory develops and uses state of the art genetic, genomic and stem cell technologies in its research programs. These methodologies are used to discover the mechanisms mediating disease susceptibility and drug response, and to develop new therapies. As one example, we developed a novel computational genetic analysis method, which has identified genetic factors affecting disease susceptibility and biomedical responses in mouse models. One of the genetic findings is the basis for an ongoing clinical trial that tests a new therapy for preventing opiate withdrawal from occuring in babies born to mothers that take opiates. Over 25 genetic factors affecting susceptibility to drug addiction, chronic pain, infectious diseases, and others have been identified. An ongoing effort is now analyzing 10000 biomedical responses in panels of inbred mouse strains. Single-cell RNA sequencing and metabolic analysis are used to identify developmental and disease-causing pathways. Stem cell-based methods for liver engineering are also used. As examples of this, the Peltz lab has produced mice with humanized livers that are used to improve drug safety; developed methods to engineer human liver from adipocyte stem cells; and to produce human liver organoids from stem cells, which are used for studying the pathogenesis of human genetic liver diseases.

  • Anesthesia Training Grant in Biomedical Research

Gary Peltz

Anesthes, Periop & Pain Med
Professor
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Anesthes, Periop & Pain Med


Last Updated: August 15, 2023

Our laboratory develops and applies state of the art genetic, genomic and stem cell technologies to its research programs. These methodologies are used to discover the mechanisms mediating disease susceptibility and drug response, and to develop new therapies. As one example, we developed a novel computational genetic analysis method, which has identified genetic factors affecting disease susceptibility and biomedical responses in mouse models. Over 25 genetic factors affecting susceptibility to drug addiction, chronic pain, infectious diseases, and others have already been identified. We recently developed a novel AI for mosue genetic discovery and have received two NIH grants for advancing AI-based genetic discovery. 

  • Anesthesia Training Grant in Biomedical Research

Gavin Sherlock

Genetics
Professor
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Genetics


Last Updated: December 01, 2021

The Sherlock lab uses experimental approaches to understand the evolutionary process, specifically interested in i) the beneficial mutation rate, ii) the distribution of fitness effects (DFE) of beneficial mutations, iii) the identities of beneficial mutations (are they gain or loss of function, are they recessive, dominant or overdominant, are the genic or regulatory?) and iv) how do each of these change as a function of genotype, ploidy and environment. We are also interested in how mutations that are beneficial in one environment fare in others (pleiotropy), and we are interested in exploring at what level experimental evolution can be deterministic, and at what level it is stochastic. We typically use serial batch culture experiments in conjunction with lineage tracking and high throughput sequencing to understand the adaptive changes that occur in yeast in response to selective pressures as they evolve in vitro.

Department URL:
https://med.stanford.edu/genetics.html

  • Institutional Training Grant in Genome Science

Gavin Sherlock

Genetics
Professor
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Genetics


Last Updated: February 01, 2023

The Sherlock lab uses experimental approaches to understand the evolutionary process, specifically interested in i) what's the rate of beneficial mutation, ii) what is the distribution of fitness effects of beneficial mutations, iii) what are the identities of beneficial mutations (and are they gain or loss of function, are they recessive, dominant or overdominant, are the genic or regulatory?) and iv) how do each of these change as a function of genotype, ploidy and environment. We are also interested in how mutations that are beneficial in one environment fare in others, to explore the trade-offs that inevitably occur when fitness increases in a specific environment, and we are interested in exploring at what level experimental evolution can be deterministic, and at what level it is stochastic. We typically use short-term continuous (chemostat) and serial batch culture experiments in conjunction with lineage tracking and high throughput sequencing to understand the adaptive changes that occur in yeast in response to selective pressures as they evolve in vitro.

  • Institutional Training Grant in Genome Science
  • Other

Glaivy Batsuli

Pediatrics
Assistant Professor
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Pediatrics


Last Updated: October 02, 2023

The Batsuli Lab focuses on elucidating mechanisms of the immune response to blood coagulation proteins deficient in patients with inherited bleeding disorders, specifically hemophilia. Hemophilia is a rare bleeding disorders caused by low or absent clotting proteins factor VIII or factor IX that affects an individual's risk of bleeding. Our lab seeks to better understand the interaction of factor proteins with antigen presenting cells that result in antibody development against factor replacement therapies in order to develop therapeutic strategies that evade these immune responses and induce tolerance. The Batsuli Lab supports a collaborative and supportive research environment that engages in team science.

Gozde Durmus

Radiology
Assistant Professor
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Radiology


Last Updated: August 10, 2020

Our lab's research lies at the interface of biology, engineering, nanotechnology, and medicine. We develop and apply translational micro/nanotechnologies to study cellular heterogeneity and complex biological systems for single cell analysis and precision medicine.  At this unique nexus, we apply key biological principles to design engineering platforms. Our research philosophy is to apply these platforms to fundamentally understand and address the mechanisms of disease (i.e., cancer, infections). 
We, for the first time, have demonstrated magnetic levitation of living cells and its application to detect minute differences in densities at the single-cell level.  We apply this unique tool to perform ultra-sensitive density measurements, magnetic blueprinting, imaging, sorting and profiling of millions of cells and rare biological materials in seconds in real-time at a single-cell resolution.  For instance, magnetic levitation technology can sort rare circulating tumor markers and cells from patient whole blood  without relying on any markers, tags or antibodies, which cut cross multiple disciplines of magnetics, microfluidics and molecular biology.
Our lab's mission is to bridge the gap between biology, engineering and nanotechnology; to develop simple, inexpensive, easy-to-use, yet, broadly applicable platforms that will change the way in which medicine is practiced as well as how patients are monitored, diagnosed and treated for precision medicine. We apply key biological principles to engineering designs.  Interfacing our unique bioengineering platforms with next-generation sequencing technologies, we aim to understand and answer fundamental questions mainly in cancer biology, antibiotic resistance, and regenerative medicine.
Our focus is to develop new tools and technologies to investigate and fundamentally understand disease and wellness. Our research efforts are summarized as follows:

  • Creating new tools and technologies to detect and isolate circulating biological signatures, materials and markers from biological fluids (i.e., circulating tumor cells, circulating tumor emboli, exosomes in blood, urine, and saliva).
  • Enabling investigations of these rare biological materials to “decode” the molecular, genetic and proteomics characteristics to better understand the biology of disease, with a special focus on cancer biology and metastasis.
  • Detecting antibiotic susceptibility using magnetic levitation. 
  • Evolving these technologies into the next generation of applications in antibiotic resistance to eradicate biofilms and resistant microorganisms.
  • Exploring self-assembly of single cells under microgravity conditions for bioprinting, tissue engineering and regenerative medicine. 

We are seeking open and honest, creative, dedicated, and team-oriented individuals to join our research team. Our lab prioritizes inclusion and diversity to achieve excellence in research and to foster an intellectual climate that is welcoming and nurturing. Two positions are available for energetic, self-driven and passionate postdoctoral fellow candidates.  Applicants are expected to be technically competent in a discipline relevant to our mission and vision.  

Grant Rotskoff

Chemistry
Assistant Professor
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Chemistry


Last Updated: March 16, 2021

Greg Zaharchuk

Radiology
Professor of Radiology
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Radiology


Last Updated: January 12, 2022

My research focuses on advanced MRI and PET/MRI techniques and their application to alleviate neurological disease.  I lead an inter-disciplinary team of physicians, graduate and post-doctoral students, and research associates with technical expertise in all the required realms to perform successful advanced imaging studies.  As an active clinical neuroradiologist, I have a strong track record of integrating advanced imaging methods to clinical patients and have published extensively on its value in a wide range of diseases.  During the past several years, I have become convinced that AI generally and deep learning in particular will transform medicine.  Radiology will be fundamentally affected.  In the area of deep learning, I have demonstrated its use to improve MR reconstruction, reduce MR contrast dose and radiation dose, segmentation of brain metastases, and to predict the future.

Guillem Pratx

Radiation Oncology
Assistant Professor
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Radiation Oncology


Last Updated: July 13, 2022

The Physical Oncology Lab develops instruments and algorithms at the interface between medical physics and biophysics, for applications in cancer research and cancer care. We use unconventional physical mechanisms to non-invasively interrogate biological processes in living organisms and physically enhance the efficacy of radiation treatments.

  • Postdoctoral Training in the Radiation Sciences
  • Stanford Cancer Imaging Training (SCIT) Program
  • Stanford Molecular Imaging Scholars (SMIS)

Hadi Hosseini

Psyc: Behavioral Medicine
Assistant Professor
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Psyc: Behavioral Medicine


Last Updated: July 13, 2022

Our lab’s research portfolio crosses multiple disciplines including computational neuropsychiatry, multimodal neuroimaging, cognitive neuroscience and neurocognitive rehabilitation. Our computational neuropsychiatry research mainly involves investigating alterations in the organization of connectome in various neurodevelopmental and neurocognitive disorders using state of the art neuroimaging techniques (fMRI, sMRI, DWI, functional NIRS) combined with novel computational methods (graph theoretical and multivariate pattern analyses). The ultimate research goal is to translate the findings from computational neuropsychiatry research toward developing personalized interventions. We have been developing personalized interventions that integrate computerized cognitive rehabilitation, real-time functional brain imaging and neurofeedback, as well as virtual reality (VR) tailored toward targeted rehabilitation of the affected brain networks in patients with neurocognitive disorders.

Ongoing studies in Dr. Hosseini’s lab include: .

  • Multimodal data integration using multilayer networks for early detection of Alzheimer's disease   
  • Real-time fNIRS neuromonitoring and neurofeedback for targeted enhancement of working memory in children with ADHD.
  • Multimodal neuroimaging study to examine the effect of long-term, cognitive intervention on brain networks in older adults at risk of developing Alzheimer’s disease.
  • Developing a low-cost, wireless, wearable, optical imaging system for personal and population-based functional neuroimaging and neuro-intervention.
  • Noninvasive optical imaging for monitoring of functional stroke recovery and to direct and optimize stroke therapies.

Han Zhu

Med: Cardiovascular Medicine, Cardiovascular Institute
Clinical Instructor (2023: Assistant Professor), Director, Stanford Translational Cardio-Oncology
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Med: Cardiovascular Medicine, Cardiovascular Institute


Last Updated: February 13, 2023

Our lab is dedicated to discovering the underpinnings of immune-related diseases in the heart. Many cancer drugs may cause immune-related toxicity in the heart, including severe myocarditis, making it difficult for patients with cancer to get the life-saving treatments they need. We have previously discovered that several key types of immune cells may be involved in potentiating disease. We are currently performing experiments to pin down the underlying mechanisms of how immune cells may cause various inflammatory heart diseases. We use a combination of precision medicine-oriented techniques including single-cell RNA-seq, TCR-seq, and CyTOF as well as classical molecular biology, cell modeling and animal modeling to answer mechanistic questions about the pathogenesis of cardiac inflammatory diseases, with the goals of discovering therapeutic targets which can be brought to the patient bedside. 

 

 

  • Cardiovascular Disease Prevention Training Program

Han Zhu

Med: Cardiovascular Medicine, Cardiovascular Institute
Clinical Instructor (2023: Assistant Professor), Director, Stanford Translational Cardio-Oncology
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Med: Cardiovascular Medicine, Cardiovascular Institute


Last Updated: February 13, 2023

Our lab is dedicated to discovering the underpinnings of immune-related diseases in the heart. Many cancer drugs may cause immune-related toxicity in the heart, including severe myocarditis, making it difficult for patients with cancer to get the life-saving treatments they need. We have previously discovered that several key types of immune cells may be involved in potentiating disease. We are currently performing experiments to pin down the underlying mechanisms of how immune cells may cause various inflammatory heart diseases. We use a combination of precision medicine-oriented techniques including single-cell RNA-seq, TCR-seq, and CyTOF as well as classical molecular biology, cell modeling and animal modeling to answer mechanistic questions about the pathogenesis of cardiac inflammatory diseases, with the goals of discovering therapeutic targets which can be brought to the patient bedside. 

 

 

  • Cardiovascular Disease Prevention Training Program

Haruka Itakura

Med: Oncology
Assistant Professor
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Med: Oncology


Last Updated: July 13, 2022

The Itakura Lab has an immediate opening for a creative and motivated postdoctoral scholar to conduct applied research in the areas of machine learning and pattern/feature detection with a focus on either computer vision/image or genomic/molecular data processing and analysis. The lab focuses on implementing machine learning frameworks and radiogenomic approaches on heterogeneous, multi-scale cancer data (e.g., clinical, imaging, histopathologic, genomic, transcriptomic, epigenomic, proteomic) to accelerate discoveries in cancer diagnostics and therapeutics. Projects include prediction modeling of survival and treatment responses, biomarker (feature) discovery, cancer subtype discovery, and identification of new therapeutic targets. Guided by critical and relevant problems in oncology, these projects have the potential to lead to clinically actionable or translatable findings.


The successful candidate will join the Department of Medicine, Division of Oncology and work. The job description:

 

  • Build and implement algorithms in machine learning applied to either imaging data (computer vision) or genomic/molecular data (computational biology)
  • Develop software tools for integrative analysis of heterogeneous, multi-omic cancer data using machine learning
  • Publish and present research findings in journals and conferences


Required Qualifications:

 

  • PhD (or MD/PhD) in Computer Science, Engineering, Informatics, Statistics, Applied Physics, or a related field with strong skills in data mining, machine learning, or statistics
  • Experience in modeling, integrative analyses, parallel computing, and/or software development desirable
  • Biomedical knowledge or research experience is not a requisite
  • Demonstrated ability to work independently, problem-solve, author manuscripts, strive for innovation, and be highly self-motivated
  • Strong interpersonal and communication skills, and ability to work as part of a multi-disciplinary team

Heidi Fedlman

Pediatrics
Professor
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Pediatrics


Last Updated: July 13, 2022

My research focuses on the neurobiological basis of language, reading, and cognition in children.  Functional imaging studies demonstrate that language and reading skills require the integrated activity of a network of distributed brain regions.  Diffusion magnetic resonance imaging (dMRI) documents that variations in the properties of long-range white matter pathways connecting these brain regions within the cerebrum and between the cerebrum and cerebellum are associated with variations in language and reading skills.  These white matter pathways may be disturbed in childhood illnesses, such as brain tumors. We have been collecting dMRI scans on children born preterm and full term at different ages, including infancy.  We also have been collecting clinical scans on children with brain tumors in the cerebellum and posterior fossa. We seek students who want to learn techniques for analyzing dMRI and related imaging methods in children and to link the neurobiological findings to clinical outcomes.  Selected studies include: (1) analyzing white matter pathways in preterm infants at near term age in relation to medical and environmental variables; (2) applying spherical deconvolution to scans of children age 6 to 8 years who are learning to read; (3) evaluating longitudinal change in children with mutism after resection of a posterior fossa brain tumor.

Heike Daldrup-Link

Radiology, Ped: Hematology-Oncology
Professor
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Radiology, Ped: Hematology-Oncology


Last Updated: February 23, 2024

Cancer Imaging, Nanoparticles, MRI, PET/MR, Cancer Immunotherapy Imaging, Tumor Associated Macrophages, Stem Cell Tracking

  • Cancer-Translational Nanotechnology Training Program (Cancer-TNT)
  • Stanford Cancer Imaging Training (SCIT) Program
  • Stanford Molecular Imaging Scholars (SMIS)

Heike Daldrup-Link

Radiology, Ped: Hematology-Oncology
Professor
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Radiology, Ped: Hematology-Oncology


Last Updated: February 23, 2024

Cancer Imaging, Nanoparticles, MRI, PET/MR, Cancer Immunotherapy Imaging, Tumor Associated Macrophages, Stem Cell Tracking

  • Cancer-Translational Nanotechnology Training Program (Cancer-TNT)
  • Stanford Cancer Imaging Training (SCIT) Program
  • Stanford Molecular Imaging Scholars (SMIS)

Heike Daldrup-Link

Radiology
Professor
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Radiology


Last Updated: February 23, 2024

CAR (chimeric antigen receptor) T-cell therapy has shown promising results in patients with leukemia and lymphoma. However, therapy response in patients with solid tumors is highly variable. An imaging test, which could directly visualize CAR T-cells in patients would greatly improve our understanding of factors that lead to successful treatment outcomes. Immune cells can be labeled with clinically translatable iron oxide nanoparticles, which can be detected with magnetic resonance imaging (MRI). However, thus far, it was required to use transfection agents to shuttle iron labels into CAR T-cells. Most transfection agents are not approved for use in humans and demonstrate low efficiency for cell labeling with nanoparticles. We developed new cell labeling techniques, which do not require transfections. This project will test the efficacy of transfection-agent free cell labeling techniques for time-efficient labeling of CAR T-cells with iron oxide nanoparticles for subsequent in vivo tracking in mouse models of cancer. Tracking nanoparticle-labeled CAR T-cells in vivo will enable us to understand and optimize the tumor accumulation of CAR T-cells, prescribe tailored dosing regimen and develop appropriate combination therapies.

  • Cancer-Translational Nanotechnology Training Program (Cancer-TNT)
  • Stanford Cancer Imaging Training (SCIT) Program
  • Stanford Molecular Imaging Scholars (SMIS)

Helen Blau

Microbiology and Immunology, Baxter Laboratory
Professor and Director
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Microbiology and Immunology, Baxter Laboratory


Last Updated: January 27, 2023

Our focus is on the basic molecular mechanisms of stem cells and muscle and their application to aging, regenerative medicine, and disease. The Blau lab brings together biologists, bioinformatics experts, and bioengineers who are interested in everything from the basic mechanisms of disease, to technology development, to clinical translation. We capitalize on an interdisciplinary approach to science because 'Where we look and how we look determines what we see’. The laboratory collaborates extensively with other researchers. Our overall objective is to understand and apply biology to improve quality of life.

  • Molecular and Cellular Immunobiology
  • Multi-Disciplinary Training Program in Cardiovascular Imaging at Stanford
  • Stanford Training Program in Aging Research

Henry Lee

Pediatrics
Associate Professor
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Pediatrics


Last Updated: August 07, 2020

We are seeking an individual for a postdoctoral fellowship in perinatal / neonatal health who has training and experience in epidemiology or a related field (e.g. PhD or MD with relevant research training). The primary mentor is Dr. Henry C. Lee, Associate Professor of Pediatrics (Neonatology), and Chief Medical Officer of the California Perinatal Quality Care Collaborative (CPQCC) . The CPQCC and its sister organization, the California Maternal Quality Care Collaborative (CMQCC) have their data centers and leadership based at the division of neonatology at Stanford, and have active research programs in perinatal health. The ability to link maternal, neonatal, and long-term follow-up data allow for opportunities to conduct large population-based epidemiologic studies, health services research, and work in reducing disparities. The emphasis of this fellowship will be on the population of extremely preterm birth, including prediction / modeling of outcomes for periviable infants, and development of tools for counseling families affected by extremely preterm birth. The postdoctoral fellow will collaborate with epidemiologists, biostatisticians, and clinician-scientists, with opportunities for mentorship and collaborative research on related topics.

Holden Maecker

Microbiology and Immunology
Professor
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Microbiology and Immunology


Last Updated: July 14, 2022

A major aim of our lab is to define metrics of immune competence in various settings, including cancer immunotherapy, organ transplantation, allergy, and chronic viral infection. We use CyTOF mass cytometry, often in combination with other technologies, to broadly survey immune features at the cellular level, then examine links between features or groups of features and clinical outcome. A long-term goal is to create an assay of global immune competence that could predict risk for various immune-related outcomes in both healthy individuals and in disease.

  • Molecular and Cellular Immunobiology

Holden Maecker

Microbiology and Immunology
Professor
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Microbiology and Immunology


Last Updated: June 23, 2022

A major aim of our lab is to define metrics of immune competence in various settings, including cancer immunotherapy, organ transplantation, allergy, and chronic viral infection.  We use CyTOF mass cytometry, often in combination with other technologies, to broadly survey immune features at the cellular level, then examine links between features or groups of features and clinical outcome.  A long-term goal is to create an assay of global immune competence that could predict risk for various immune-related outcomes in both healthy individuals and in disease.

  • Molecular and Cellular Immunobiology

Hunter Fraser

Biology
professor
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Biology


Last Updated: January 27, 2023

We study the evolution of complex traits by developing new experimental and computational methods.

Although genetics is often taught in terms of simple Mendelian traits, most traits are far more complex. They evolve via a multitude of genetic changes, each having a small effect by itself, which in sum give rise to the spectacular adaptation of every organism to its environment.

Our work brings together quantitative genetics, genomics, epigenetics, and evolutionary biology to achieve a deeper understanding of how genetic variation shapes the phenotypic diversity of life. Our main focus is on the evolution of gene expression, since this is the primary fuel for natural selection. Our long-term goal is to understand the genetic basis of complex traits well enough to introduce them into new species via genome editing.

Hyowon Gweon

Psychology
Associate Professor
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Psychology


Last Updated: April 24, 2023

We know far more than what we can directly experience. We learn about the world by drawing rich, abstract inductive inferences that go beyond what we can observe, and much of these observations come from behaviors of others around us. By engaging in social learning in diverse contexts, humans learn from others, share their knowledge with others, and even accumulate a body of cultural knowledge over generations. 

The Social Learning Lab (SLL) aims to understand the cognitive mechanisms that underlie the communicative interactions we experience in our lives. In particular, the ways in which young children learn from others provide a unique window to the interface between our ability to draw powerful inferences and to our understanding of others’ thoughts and actions (Theory of Mind). To better understand this process, we design and conduct behavioral experiments with young children and adults, often combined with computational models that help predict and explain behavioral results.

 

Ioannis Karakikes

Cardiothoracic Surgery
Assistant Professor
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Cardiothoracic Surgery


Last Updated: December 02, 2021

The Karakikes Lab investigates the molecular mechanisms of rare cardiac diseases, such as dilated cardiomyopathy (DCM). We employ an interdisciplinary approach, integrating functional genomics approaches in human pluripotent stem cell (hPSC) derived cardiovascular cells with single-cell transcriptomics and epigenetics to study cardiomyopathies in a genetically controlled and systematic manner.

Jade Benjamin-Chung

Epidemiology and Population Health
Assistant Professor
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Epidemiology and Population Health


Last Updated: November 22, 2021

Our research aims to improve population health by creating high quality evidence about what health interventions work in whom and where, when, and how to implement them. Most of our research is focused on infectious diseases, including malaria, diarrhea, soil-transmitted helminths, and influenza. Our focus is on improving the health of vulnerable populations from low-resource settings, both domestically and internationally. We use a variety of epidemiologic, computational, and statistical methods, including causal inference and machine learning methods.

Department URL:
https://med.stanford.edu/epidemiology-dept.html

Jade Benjamin-Chung

Epidemiology and Population Health
Assistant Professor
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Epidemiology and Population Health


Last Updated: November 22, 2021

Our research aims to improve population health by creating high quality evidence about what health interventions work in whom and where, when, and how to implement them. Most of our research is focused on infectious diseases, including malaria, diarrhea, soil-transmitted helminths, and influenza. Our focus is on improving the health of vulnerable populations from low-resource settings, both domestically and internationally. We use a variety of epidemiologic, computational, and statistical methods, including causal inference and machine learning methods.

Jaimie Henderson

Neurosurgery, Neuroscience Institute
Professor
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Neurosurgery, Neuroscience Institute


Last Updated: February 23, 2024

Jaimie Henderson

Neurosurgery, Neuroscience Institute
Professor
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Neurosurgery, Neuroscience Institute


Last Updated: February 23, 2024

James Brooks

Urology
Professor
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Urology


Last Updated: July 26, 2021

Our interest is in developing diagnostic and prognostic markers for urological diseases. Our work spans discovery, measurement methodologies, and clinical validation of candidate biomarkers. We have primarily used genomic and proteomic approaches for biomarker discovery. While our primary focus has been in prostate cancer, we have also worked in kidney cancer and other malignancies. We are also working to characterize the functional roles of several of the candidate biomarkers in cancer. In the past several years our work has expanded into benign urologic diseases including benign prostatic hyperplasia, obstructive nephropathy, and androgen insensitivity syndrome. In collaboration with bioengineers and radiologists, we have active research in molecular imaging, and protein and nucleotide detection on biological samples. We also participate in several large clinical trials for development, validation and implementation of clinical biomarkers in prostate cancer.

  • Adult and Pediatric Nephrology and Urology Research Training Program
  • Stanford Molecular Imaging Scholars (SMIS)

James Brooks

Urology
Professor
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Urology


Last Updated: March 17, 2022

Our interest is in developing diagnostic and prognostic markers for urological diseases. Our work spans discovery, measurement methodologies, and clinical validation of candidate biomarkers. We have primarily used genomic and proteomic approaches for biomarker discovery. While our primary focus has been in prostate cancer, we have also worked in kidney cancer and other malignancies. We are also working to characterize the functional roles of several of the candidate biomarkers in cancer. In the past several years our work has expanded into benign urologic diseases including benign prostatic hyperplasia, obstructive nephropathy, and androgen insensitivity syndrome. In collaboration with bioengineers and radiologists, we have active research in molecular imaging, and protein and nucleotide detection on biological samples. We also participate in several large clinical trials for development, validation and implementation of clinical biomarkers in prostate cancer.

  • Adult and Pediatric Nephrology and Urology Research Training Program

James Chen

Chemical and Systems Biology
Professor
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Chemical and Systems Biology


Last Updated: February 23, 2024

Our laboratory integrates synthetic chemistry, genetics, and developmental biology to investigate the molecular mechanisms that control tissue formation, regeneration, and oncogenic transformation. Our research group is currently focused on three major areas: (1) small-molecule and genetic regulators of the Hedgehog signaling pathway; (2) optochemical and optogenetic tools for studying tissue patterning with spatiotemporal precision; and (3) zebrafish models of vertebrate development.

James Ford

Med: Oncology
Professor
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Med: Oncology


Last Updated: February 23, 2024

The focus of our research is understanding the role of genetic changes in cancer genes in the risk and development of common cancers and on manipulating DNA repair mechanisms for the prevention and treatment of cancer. Solid tumors often exhibit high levels of reactive oxygen species (ROS) resulting in oxidative damage and the generation of 8-oxoguanine (8-oxoG), a common source of mutations and DNA damage in the cell. ROS can be generated by multiple mechanisms including activating RAS mutations, exposure to chemical carcinogens and ionizing reagents, or as a by-product of metabolic processes in the cell.  ROS likely impacts the initiation of BRCA-mutated triple negative breast cancer (TNBC) through the accumulation of mutations in the cell.  Up-regulating base excision repair (BER) pathways is a potentially viable approach to inhibiting tumorigenesis in BRCA-mutated individuals by reducing mutagenesis. We have identified small-molecule activators of BER and are exploring their mechanism of action and activity in cells and tumorogenesis models in mice. We are seeking a Postdoctoral scholar to work in this area who is
well-versed in tissue culture, cellular assays, and molecular biology techniques. Experience and a willingness to work with mice is preferred.

Jan Carette

Microbiology and Immunology
Associate Professor
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Microbiology and Immunology


Last Updated: July 13, 2022

Our lab is interested in the host pathways that determine the susceptibility of humans to viral disease. Viruses constantly evolve to exploit host machineries for their benefit whilst disarming host restriction mechanisms. Discovery of host proteins critical for viral infection illuminates basic aspects of cellular biology, reveals intricate virus host relationships, and leads to potential targets for antiviral therapeutics.

Jan Skotheim

Biology
Professor
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Biology


Last Updated: August 10, 2020

My overarching goal is to understand how cell growth triggers cell division. Linking growth to division is important because it allows cells to maintain a specific size range to best perform their physiological functions. For example, red blood cells must be small enough to flow through small capillaries, whereas macrophages must be large enough to engulf pathogens. In addition to being important for normal cell and tissue physiology, the link between growth and division is misregulated in cancer.

Today, thanks to decades of research into the question of how cells control division, we have an extensive, likely nearly complete parts-list of key regulatory proteins. Deletion, inhibition, or over-expression of these proteins often results in changes to cell size. However, the underlying molecular mechanisms for how growth triggers division are not understood.  How do the regulatory proteins work together to produce a biochemical activity reflecting cell size or growth? Since we now have most of the parts, the next step to solving this fundamental question is to better understand how they work together.

Jason Yeatman

Pediatrics, Graduate School of Education
Assistant Professor
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Pediatrics, Graduate School of Education


Last Updated: August 10, 2020

Mission: Our mission is to both use neuroscience as a tool for improving education, and use education as a tool for furthering our understanding of the brain. On the one hand, advances in non-invasive, quantitative brain imaging technologies are opening a new window into the mechanisms that underlie learning. For children with learning disabilities such as dyslexia, we hope to develop personalized intervention programs that are tailored to a child’s unique pattern of brain maturation. On the other hand, interventions provide a powerful tool for understanding how environmental factors shape brain development. Combining neuroimaging with educational interventions we hope to further our understanding of plasticity in the human brain.
The Lab: The Brain Development & Education Lab is located in the Graduate School of Education at Stanford University and represents a collaboration between the Division of Developmental and Behavioral Pediatrics within the School of Medicine, the Graduate School of Education and the Wu Tsai Neuroscience Institute (we recently moved from The University of Washington’s Institute for Learning & Brain Sciences). The focus of the lab is understanding the interplay between brain maturation and cognitive development.  The lab is interdisciplinary, drawing on the fields of neuroscience, psychology, education, pediatrics and engineering to answer basic scientific and applied questions.  Current projects focus on understanding how the brain’s reading circuitry develops in response to education and how targeted behavioral interventions prompt changes in the brain’s of children with dyslexia. A major component of this work is the development of software to measure properties of human brain tissue, localize differences and quantify changes over development.

Jason Yeatman

Pediatrics, Graduate School of Education
Assistant Professor
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Pediatrics, Graduate School of Education


Last Updated: August 10, 2020

Mission: Our mission is to both use neuroscience as a tool for improving education, and use education as a tool for furthering our understanding of the brain. On the one hand, advances in non-invasive, quantitative brain imaging technologies are opening a new window into the mechanisms that underlie learning. For children with learning disabilities such as dyslexia, we hope to develop personalized intervention programs that are tailored to a child’s unique pattern of brain maturation. On the other hand, interventions provide a powerful tool for understanding how environmental factors shape brain development. Combining neuroimaging with educational interventions we hope to further our understanding of plasticity in the human brain.
The Lab: The Brain Development & Education Lab is located in the Graduate School of Education at Stanford University and represents a collaboration between the Division of Developmental and Behavioral Pediatrics within the School of Medicine, the Graduate School of Education and the Wu Tsai Neuroscience Institute (we recently moved from The University of Washington’s Institute for Learning & Brain Sciences). The focus of the lab is understanding the interplay between brain maturation and cognitive development.  The lab is interdisciplinary, drawing on the fields of neuroscience, psychology, education, pediatrics and engineering to answer basic scientific and applied questions.  Current projects focus on understanding how the brain’s reading circuitry develops in response to education and how targeted behavioral interventions prompt changes in the brain’s of children with dyslexia. A major component of this work is the development of software to measure properties of human brain tissue, localize differences and quantify changes over development.

Jeffrey Goldberg

Ophthalmology
Professor
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Ophthalmology


Last Updated: February 23, 2024

We work on the cellular and molecular basis of neuronal survival and axon growth relevant to neuroprotection and regeneration, and on differentiation and transplant relevant to neural development and cell replacement therapies. Using retinal ganglion cells, a type of CNS neuron, as our primary model system in vitro and in rodent models in vivo, we use diverse "omics" and discovery research, combined with hypothesis-driven experiments and novel techniques, to unveil the basis for neuronal development, integration, and regeneration in the visual system.

Jennifer Brophy

Bioengineering
Assistant Professor
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Bioengineering


Last Updated: August 15, 2023

Synthetic biology in plants and their associated microbes with the goal of driving innovation in agriculture for a sustainable future.

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