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 mentor | Research Interests |
---|---|
Miriam Goodman Molecular & Cellular Phys
Molecular & Cellular Phys
Last Updated: August 12, 2020 |
The wormsenseLab seeks to decipher the genetic, molecular and physical basis of touch sensation and its disruption by mechanical and chemical stress, such as exposure to elevated glucose in diabetes and chemotherapeutic drugs. We use a combination of genetics, electrophysiology, and quantitative analysis of behavior and also develop new tools for delivering and measuring mechanical force. We also lead an interdisciplinary project (NeuroPlant) that uses nematode behavior to identify compounds synthesized by medicinal plants that modulate neuron function. This project also seeks to link compounds to their conserved protein receptors. |
Miriam Goodman Molecular & Cellular Phys
Molecular & Cellular Phys
Last Updated: January 13, 2022 |
The @wormsenseLab at Stanford University seeks postdoctoral scholars with an interest in the genetics, biophysics, and cell biology of sensation. In appointing postdocs, we look for curiosity, excellence in the practice of reproducible research, and the ability to lead and work in teams — learning from and teaching others. You may launch research into the molecular and physical events responsible for touch and its degradation by persistent mechanical stress and chemotherapeutics. You may also propose to join NeuroPlant, an interdisciplinary, team-based discovery platform for discovering novel ligand-receptor pairs that modulate nervous system function and for deciphering the neural codes responsible for chemical attraction and repulsion. As a NeuroPlant postdoc, you will be encouraged to select a co-advisor from the project faculty team. The @wormsenseLab believes that interdisciplinary scientists are needed in diverse careers and have helped to launch former postdocs into tenure-track academic positions, research and business development in industry, start-ups, and venture capital firms. You can learn more about our researchers from this 2019 Life in a Lab profile. |
Monther Abu-Remaileh Chemical Engineering
Chemical Engineering
Last Updated: August 10, 2020 |
We are interested in identifying novel pathways that enable cellular and organismal adaptation to metabolic stress and changes in environmental conditions. We also study how these pathways go awry in human diseases such as cancer, neurodegeneration and metabolic syndrome, in order to engineer new therapeutic modalities.
|
Naima Sharaf Biology
Biology
Last Updated: August 25, 2021 |
Proteins embedded in the cell envelope of bacteria perform multiple important functions, including signaling, nutrient acquisition, and export of virulence factors. Understanding the structure and functions of these proteins is critical for the development of new anti-bacterial therapies. Currently, the lab focuses on both ABC transporters and lipoproteins of Gram-negative bacteria. The ultimate goal of the research to translate basic lipoprotein research into novel therapuetics. My goal as a mentor is to contribute to my mentees’ scientific and professional development by leveraging their strengths and providing them with the tools and resources they need to pursue their desired careers. My mentoring philosophy relies on (1) maintaining honest and open communication, (2) providing feedback and guidance, (3) setting clear expectations, and (4) creating a supportive and inclusive learning environment. |
Natalia Gomez-Ospina Ped: Genetics, Stem Cell Bio Regenerative Med
Ped: Genetics, Stem Cell Bio Regenerative Med
Last Updated: November 16, 2020 |
The main focus of Dr. Gomez-Ospina’s lab is to develop therapies for patients with genetic neurodgenerative diseases. The lab uses genome editing and stem cells to produce definitive treatments for childhood neurodegenerative diseases, many of which are lysosomal storage disorders. Current projects in the lab include developing autologous transplantation of genome-edited hematopoietic stem cells for Mucopolysaccharidosis type I, Gaucher, Krabbe disease, Frontotemporal Dementia, and Friedreich's ataxia. Although there is a strong translational focus to the lab, we are also pursuing basic science questions to understand and enhance our therapies including: 1) increasing the efficiency of genome editing tools, 2) understanding microglia turnover in response to conditioning before hematopoietic stem transplant, and 3) stablishing brain-specific conditioning regimens to neurometabolic diseases. |
Natalia Gomez-Ospina Ped: Genetics, Stem Cell Bio Regenerative Med
Ped: Genetics, Stem Cell Bio Regenerative Med
Last Updated: November 16, 2020 |
The main focus of Dr. Gomez-Ospina’s lab is to develop therapies for patients with genetic neurodgenerative diseases. The lab uses genome editing and stem cells to produce definitive treatments for childhood neurodegenerative diseases, many of which are lysosomal storage disorders. Current projects in the lab include developing autologous transplantation of genome-edited hematopoietic stem cells for Mucopolysaccharidosis type I, Gaucher, Krabbe disease, Frontotemporal Dementia, and Friedreich's ataxia. Although there is a strong translational focus to the lab, we are also pursuing basic science questions to understand and enhance our therapies including: 1) increasing the efficiency of genome editing tools, 2) understanding microglia turnover in response to conditioning before hematopoietic stem transplant, and 3) stablishing brain-specific conditioning regimens to neurometabolic diseases. |
Natalie Torok Med: Gastroenterology
Med: Gastroenterology
Last Updated: January 25, 2024 |
Our laboratory has been focusing on the mechanisms of fibrosis elucidating the links between activation of redox pathways, cell death, stellate cell activation and transdifferentiation to myofibroblasts. We have been interested in the role of NADPH oxidases and their cell-specific roles in liver injury and repair. We are investigating how changes in the mechanical properties of the extracellular matrix and architecture elicit changes in cellular behavior, and how these predispose to cancer invasion. While matrix stiffness in advanced fibrosis/cirrhosis and its effects on cancer progression have been extensively studied, we demonstrated how changes in viscoelasticity, independent of stiffness, impact hepatocellular carcinoma growth. This is clinically very relevant as increasing viscoelasticity could be a new risk factor foretelling more invasive features of cancer in diabetic patients. With the type 2 diabetes and steatotic liver disease epidemics, the ultimate goal is to translate our findings and develop novel therapeutic approaches that improve patient outcomes.
|
Neir Eshel Psyc: Behavioral Medicine, Neuroscience Institute
Psyc: Behavioral Medicine, Neuroscience Institute
Last Updated: August 15, 2023 |
The STAAR Lab is a dynamic new neuroscience lab in Stanford’s Psychiatry Department, led by Neir Eshel, MD, PhD. We are looking to hire curious and ambitious postdocs to join our team. Lab projects focus on the neural circuitry of aggressive and compulsive behaviors, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of animal behavior. There are ample opportunities for career development and clinical exposure based on candidate interest. Compensation and benefits are highly competitive. The ideal postdoctoral candidate has an MD and/or PhD in neuroscience or related field and extensive experience with rodent neuroscience. Excellent analytical skills, e.g., Python & Matlab, are strongly preferred. An expert data analyst may be considered even without animal experience. We are strongly committed to diversity and inclusion. |
Neir Eshel Psyc: Behavioral Medicine, Neuroscience Institute
Psyc: Behavioral Medicine, Neuroscience Institute
Last Updated: August 15, 2023 |
The STAAR Lab is a dynamic new neuroscience lab in Stanford’s Psychiatry Department, led by Neir Eshel, MD, PhD. We are looking to hire curious and ambitious postdocs to join our team. Lab projects focus on the neural circuitry of aggressive and compulsive behaviors, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of animal behavior. There are ample opportunities for career development and clinical exposure based on candidate interest. Compensation and benefits are highly competitive. The ideal postdoctoral candidate has an MD and/or PhD in neuroscience or related field and extensive experience with rodent neuroscience. Excellent analytical skills, e.g., Python & Matlab, are strongly preferred. An expert data analyst may be considered even without animal experience. We are strongly committed to diversity and inclusion. |
Ngan Huang Cardiothoracic Surgery
Cardiothoracic Surgery
Last Updated: August 11, 2020 |
Dr. Huang’s laboratory aims to understand the chemical and mechanical interactions between extracellular matrix (ECM) proteins and pluripotent stem cells that regulate vascular and myogenic differentiation. The fundamental insights of cell-matrix interactions are applied towards stem cell-based therapies with respect to improving cell survival and regenerative capacity, as well as engineered vascularized tissues for therapeutic implantation. Current projects focus on the role of naturally-derived ECMs to enhance endothelial differentiation of induced pluripotent stem cells on two-dimensional ECM microarrays of varying substrate rigidity. The knowledge gained from understanding cell-ECM interactions are applied towards engineering prevascularized skeletal or cardiac muscle constructs using nanotopographical cues derived from nanofibrillar ECMs. We have an opening currently for a postdoctoral fellow to develop vascularized skeletal muscle tissues for treatment of traumatic muscle injury.
|
Ngan Huang Cardiothoracic Surgery
Cardiothoracic Surgery
Last Updated: January 23, 2024 |
Dr. Huang's laboratory aims to understand the chemical and mechanical interactions between extracellular matrix (ECM) proteins and pluripotent stem cells that regulate vascular and myogenic function. The fundamental insights of cell-matrix interactions are applied towards stem cell-based therapies with respect to improving cell survival and regenerative capacity, as well as engineered vascularized tissues for therapeutic transplantation. Current projects focus on various aspects of mechanical and physical factors on tissue regeneration. Examples include: 1) Cellular Biomechanics for in High Through Chemical Screening: To develop new technology for high-throughput quantitative assessment of vascular endothelial cell biomechanics for cardiovascular drug screening. We hypothesize that cellular biomechanics can be a predictive biomarker of endothelial health. 2) Engineered Matrix Microarrays to Enhance the Regenerative Potential of iPSC-Derived Endothelial Cells: We propose to develop a combinatorial family of engineered ECMs (eECMs) with independently tunable biochemical and biomechanical cues, including stiffness and stress relaxation rate for high-throughput, matrix array studies of induced pluripotent stem cell-derived endothelial cell (iPSC-EC) survival and angiogenic potential. The optimally designed eECMs will then be coinjected with iPSC-EC for treatment of peripheral arterial disease in a mouse model of hindlimb ischemia (Sponsor: NIH). 3) iPSC-Derived Smooth Muscle Progenitors for Treatment of Abdominal Aortic Aneurysm: We propose to deliver human induced pluripotent stem cell-derived smooth muscle progenitors to the site of abdominal aortic aneurysm will replenish smooth muscle cells, enhance elastin production, and abrogate wall dilatation in a murine model (Sponsor: CIRM). 4) Vascularized Cardiac Patch with Physiological Orientation for Myocardial Repair: The aims are to engineer a vascularized aligned iPSC-derived CM (cardiomyocyte) patch and elucidating the molecular mechanisms of ECM-mediated nitric oxide signaling in enhancing iPSC-CM survival and phenotype; and to determine the therapeutic effect of a vascularized aligned iPSC-derived CM patch for treatment of myocardial infarction (Sponsor: Dept of Veteran Affairs). 5) Other ongoing research areas: mRNA-based therapeutics, exosome biologics, microgravity effects on tissue regeneration and dysfunction, 3D bioprinting of engineered skeletal muscle, viscoelasticity effects on endothelial-to-mesenchymal transition, electro-osmosis for treatment of lymphedema, tissue chips for stem cell manufacturing Dr. Huang's laboratory research is funded by the National Institues of Health, Department of Defense, California Institute for Regenerative Medicine, National Science Foundation, and the Department of Veteran Affairs.
|
Nicole Martinez Chemical and Systems Biology, Developmental Biology
Chemical and Systems Biology, Developmental Biology
Last Updated: February 10, 2023 |
The Martinez lab studies RNA regulatory mechanisms that control gene expression. We focus on mRNA processing, RNA modifications and their roles in development and disease. |
Nicole Martinez Chemical and Systems Biology, Developmental Biology
Chemical and Systems Biology, Developmental Biology
Last Updated: February 10, 2023 |
The Martinez lab studies RNA regulatory mechanisms that control gene expression. We focus on mRNA processing, RNA modifications and their roles in development and disease. |
Nidhi Bhutani Orthopedic Surgery
Orthopedic Surgery
Last Updated: July 13, 2022 |
Our research interests broadly encompass the molecular mechanisms regulating development, regeneration and repair with a focus on the epigenome. We are exploring epigenetic regulation in health and disease especially understanding (a) the dynamics of DNA methylation and demethylation and (b) the 3D chromatin organization. Another focus is stem cell biology and reprogramming approaches especially utilizing embryonic and induced pluripotent stem cells towards musculoskeletal regeneration and for age-associated diseases like Osteoarthritis. We are looking for highly creative and motivated postdoctoral fellows with a broad interest in Stem cell biology and Regenerative medicine. The specific research projects are focused on studying epigenetic regulation of skeletal diseases (cartilage and bone) and for understanding stem cell function in skeletal growth and regeneration. Another focus area is tissue engineering and generation of biomimetic 3D tissue models that reflect the endogenous complexity. Applicants must be PhD (cell, molecular or stem cell biology or bioengineering). |
Nigam Shah Med: Biomedical Informatics Research (BMIR), Biomedical Data Sciences
Med: Biomedical Informatics Research (BMIR), Biomedical Data Sciences
Last Updated: July 13, 2022 |
We analyze multiple types of health data (EHR, Claims, Wearables, Weblogs, and Patient blogs), to answer clinical questions, generate insights, and build predictive models for the learning health system. Our group runs the country's only bedside consult service to enable better medical decisions using aggregate EHR and Claims data at the point of care. Our team leads the Stanford Medicine Program for Artificial Intelligence in Healthcare, which makes predictions that allow taking mitigating actions, and studies the ethical implications of using machine learning in clinical care. We have built models for predicting future increases in cost, identifying slow healing wounds, missed diagnoses of depression and for improving palliative care.
|
Nigam Shah Med: Biomedical Informatics Research (BMIR), Biomedical Data Sciences
Med: Biomedical Informatics Research (BMIR), Biomedical Data Sciences
Last Updated: July 13, 2022 |
We analyze multiple types of health data (EHR, Claims, Wearables, Weblogs, and Patient blogs), to answer clinical questions, generate insights, and build predictive models for the learning health system. Our group runs the country's only bedside consult service to enable better medical decisions using aggregate EHR and Claims data at the point of care. Our team leads the Stanford Medicine Program for Artificial Intelligence in Healthcare, which makes predictions that allow taking mitigating actions, and studies the ethical implications of using machine learning in clinical care. We have built models for predicting future increases in cost, identifying slow healing wounds, missed diagnoses of depression and for improving palliative care.
|
Nilam Ram Psychology, Communication
Psychology, Communication
Last Updated: February 08, 2022 |
The Stanford Screenomics Lab is a multidisciplinary group that uses newly available data streams to understand what people actually do on their smartphones, and how the content of their screen experiences relate to health and well-being. We use a variety of computer vision and text analysis tools to extract information from long sequences of screenshots, develop new descriptors of smartphone behavior and smartphone content, and examine how those behavior and content are related to users' emotions, sleep, and mental health. Our lab is committed to global diversity and fostering minority representation in social science, and we collaborate widely with schools and departments across Stanford and other universities. |
Nilam Ram Psychology, Communication
Psychology, Communication
Last Updated: February 08, 2022 |
The Stanford Screenomics Lab is a multidisciplinary group that uses newly available data streams to understand what people actually do on their smartphones, and how the content of their screen experiences relate to health and well-being. We use a variety of computer vision and text analysis tools to extract information from long sequences of screenshots, develop new descriptors of smartphone behavior and smartphone content, and examine how those behavior and content are related to users' emotions, sleep, and mental health. Our lab is committed to global diversity and fostering minority representation in social science, and we collaborate widely with schools and departments across Stanford and other universities. |
Nilam Ram Communication, Psychology
Communication, Psychology
Last Updated: February 08, 2022 |
The Stanford Media & Psychology Lab is a multidisciplinary group focused on design and data analysis techniques for study of media and human behavior, integrating established and new disciplines to accelerate research innovations that foster innovations in psychological theory and social policy. Current research directions include emotional regulation, media and technology use, lifespan development, and new methods for analysis of intensive longitudinal analysis–including analysis of ecological momentary assessment and smartphone sensor data. Our lab is committed to global diversity and fostering minority representation in social science, and we collaborate widely with schools and departments across Stanford and other universities. |
Nilam Ram Communication, Psychology
Communication, Psychology
Last Updated: February 08, 2022 |
The Stanford Media & Psychology Lab is a multidisciplinary group focused on design and data analysis techniques for study of media and human behavior, integrating established and new disciplines to accelerate research innovations that foster innovations in psychological theory and social policy. Current research directions include emotional regulation, media and technology use, lifespan development, and new methods for analysis of intensive longitudinal analysis–including analysis of ecological momentary assessment and smartphone sensor data. Our lab is committed to global diversity and fostering minority representation in social science, and we collaborate widely with schools and departments across Stanford and other universities. |
Nima Aghaee Pour Anesthes, Periop & Pain Med
Anesthes, Periop & Pain Med
Last Updated: February 23, 2024 |
We are a machine learning lab with a primary focus on predictive modeling of clinical outcomes using multiomics biological assays. Our research covers a wide range of unconventional yet high-impact topics ranging from space medicine to the integration of mental health, physical health, immune fitness, and nutrition in various clinical settings. We are primarily a computational immunology research group but depending on the problem at hand, our datasets include clinical measurements, readouts from advanced wearable technologies, and various genomics and proteomics assays. |
Nirao Shah Psyc: Behavioral Medicine, Neurobiology
Psyc: Behavioral Medicine, Neurobiology
Last Updated: July 13, 2022 |
Nirao Shah's lab is interested in understanding the molecular and neural networks that regulate sexually dimorphic social behaviors. |
Nirao Shah Psyc: Behavioral Medicine, Neurobiology
Psyc: Behavioral Medicine, Neurobiology
Last Updated: July 13, 2022 |
Nirao Shah's lab is interested in understanding the molecular and neural networks that regulate sexually dimorphic social behaviors. |
Noah Diffenbaugh Earth Energy Env Sciences, Woods Institute
Earth Energy Env Sciences, Woods Institute
Last Updated: January 12, 2022 |
The Climate and Earth System Dynamics Group is led by Prof. Noah S. Diffenbaugh. Our research takes an integrated approach to understanding climate dynamics and climate impacts by probing the interface between physical processes and natural and human vulnerabilities. This interface spans a range of spatial and temporal scales, and a number of climate system processes. Much of the group's work has focused on the role of fine-scale processes in shaping climate change impacts, including studies of extreme weather, water resources, agriculture, human health, and poverty vulnerability. |
Noah Diffenbaugh Earth Energy Env Sciences, Woods Institute
Earth Energy Env Sciences, Woods Institute
Last Updated: January 12, 2022 |
The Climate and Earth System Dynamics Group is led by Prof. Noah S. Diffenbaugh. Our research takes an integrated approach to understanding climate dynamics and climate impacts by probing the interface between physical processes and natural and human vulnerabilities. This interface spans a range of spatial and temporal scales, and a number of climate system processes. Much of the group's work has focused on the role of fine-scale processes in shaping climate change impacts, including studies of extreme weather, water resources, agriculture, human health, and poverty vulnerability. |
Nolan Williams Psyc: Behavioral Medicine
Psyc: Behavioral Medicine
Last Updated: June 23, 2022 |
Dr. Williams is an Assistant Professor within the Department of Psychiatry and Behavioral Sciences and the Director of the Stanford Brain Stimulation Lab. Dr. Williams has a broad background in clinical neuroscience and is triple board-certified in general neurology, general psychiatry, as well as behavioral neurology & neuropsychiatry. In addition, he has specific training and clinical expertise in the development of brain stimulation methodologies under Mark George, MD. Themes of his work include (a) examining the use of spaced learning theory in the application of neurostimulation techniques, (b) development and mechanistic understanding of rapid-acting antidepressants, and (c) identifying objective biomarkers that predict neuromodulation responses in treatment-resistant neuropsychiatric conditions. He has published papers in high impact peer-reviewed journals including Brain, American Journal of Psychiatry, and the Proceedings of the National Academy of Science. Results from his studies have gained widespread attention in journals such as Science and New England Journal of Medicine Journal Watch as well as in the popular press and have been featured in various news sources including Time, Smithsonian, and Newsweek. Dr. Williams received two NARSAD Young Investigator Awards in 2016 and 2018 along with the 2019 Gerald R. Klerman Award. Dr. Williams received the National Institute of Mental Health Biobehavioral Research Award for Innovative New Scientists in 2020.
|
Nolan Williams Psyc: Behavioral Medicine, Psyc: Behavioral Medicine
Psyc: Behavioral Medicine, Psyc: Behavioral Medicine
Last Updated: August 15, 2023 |
The Stanford Brain Stimulation Lab, directed by Dr. Nolan Williams at Stanford School of Medicine, is looking for postdoctoral researcher candidates for an open postdoctoral position leading clinical trials and driving forward novel therapeutic strategies. The Brain Stimulation Lab (BSL) utilizes novel brain stimulation techniques to probe and modulate the neural networks underlying neuropsychiatric diseases/disorders in an effort to develop new models and novel therapeutics. Our lab is culturally diverse and interdisciplinary, consisting of basic neuroscientists, clinical researchers, data scientists, psychologists, residents, psychiatrists, and neurologists.
We are currently looking for a postdoctoral researcher with proven experience in clinical trials in psychiatry to take a leading role in trials conducted at the lab, drive forward novel therapeutic strategies, and/or develop novel analytical strategies and methodologies. The candidate will work closely with, and receive guidance from, a faculty member assigned to the trial and will lead a team of clinical research coordinators. The BSL includes dedicated teams for patient recruitment, neuroimaging data collection, data analysis, treatment, and regulatory affairs, which will support the candidate in carrying out their duties. The position is a unique opportunity to further develop a career in clinical/translational neuroscience and psychiatric research.
1. PhD in Neuroscience or related field; or M.D with training in psychiatry.
|
Nolan Williams Psyc: Behavioral Medicine, Psyc: Behavioral Medicine
Psyc: Behavioral Medicine, Psyc: Behavioral Medicine
Last Updated: August 15, 2023 |
The Stanford Brain Stimulation Lab, directed by Dr. Nolan Williams at Stanford School of Medicine, is looking for postdoctoral researcher candidates for an open postdoctoral position leading clinical trials and driving forward novel therapeutic strategies. The Brain Stimulation Lab (BSL) utilizes novel brain stimulation techniques to probe and modulate the neural networks underlying neuropsychiatric diseases/disorders in an effort to develop new models and novel therapeutics. Our lab is culturally diverse and interdisciplinary, consisting of basic neuroscientists, clinical researchers, data scientists, psychologists, residents, psychiatrists, and neurologists.
We are currently looking for a postdoctoral researcher with proven experience in clinical trials in psychiatry to take a leading role in trials conducted at the lab, drive forward novel therapeutic strategies, and/or develop novel analytical strategies and methodologies. The candidate will work closely with, and receive guidance from, a faculty member assigned to the trial and will lead a team of clinical research coordinators. The BSL includes dedicated teams for patient recruitment, neuroimaging data collection, data analysis, treatment, and regulatory affairs, which will support the candidate in carrying out their duties. The position is a unique opportunity to further develop a career in clinical/translational neuroscience and psychiatric research.
1. PhD in Neuroscience or related field; or M.D with training in psychiatry.
|
Olivia Martinez Surg: Transplantation Surgery
Surg: Transplantation Surgery
Last Updated: July 13, 2022 |
My laboratory investigates the immune response to viruses and allogeneic tissues. We are interested in characterizing the human immune response to EBV, CMV, and SARS-CoV-2 to distinguish features that are associated with control of the virus or result in pathologies including COVID-19, MIS-C, and post-transplant viral disease. Projects that are available include 1) analysis of the diversity of TCR usage in the response to EBV, CMV, and SARS-CoV-2 through the use of next generation sequencing and single cell approaches to evaluate T cell phenotype and function; 2) characterization of the natural killer (NK) cell populations that participate in the response to viruses; 3) determining the role of the viral protein LMP1 in activation of the PI3K/Akt/mTOR pathway and the effect of targeting this pathway in EBV-associated B cell lymphoma development. 4) identification of novel host gene targets and pathways of oncogenesis utilized by EBV. Human immunology projects utilize cell lines as well as existing extensive repositories of human blood and tissue samples. Animal models of transplant immunology and tumor immunology are also established in the lab.
|
Olivia Martinez Immunity Transplant Infection
Immunity Transplant Infection
Last Updated: August 15, 2023 |
My laboratory investigates the immune response to viruses and allogeneic tissues. We are interested in characterizing the human immune response to EBV, CMV, and SARS-CoV-2 to distinguish features that are associated with control of the virus or result in pathologies including COVID-19, MIS-C, and post-transplant viral disease. Projects that are available include 1) analysis of the diversity of TCR usage in the response to EBV, CMV, and SARS-CoV-2 through the use of next generation sequencing and single cell approaches to evaluate T cell phenotype and function; 2) characterization of the natural killer (NK) cell populations that participate in the response to viruses; 3) determining the role of the viral protein LMP1 in activation of the PI3K/Akt/mTOR pathway and the effect of targeting this pathway in EBV-associated B cell lymphoma development. 4) identification of novel host gene targets and pathways of oncogenesis utilized by EBV. Human immunology projects utilize cell lines as well as existing extensive repositories of human blood and tissue samples. Animal models of transplant immunology and tumor immunology are also established in the lab. Molecular and Cellular Immunobiology |
Olivier Gevaert Med: Biomedical Informatics Research (BMIR), Biomedical Data Sciences
Med: Biomedical Informatics Research (BMIR), Biomedical Data Sciences
Last Updated: July 13, 2022 |
Multi-omics, multi-modal, multi-scale data fusion in complex diseases using machine learning |
Olivier Gevaert Med: Biomedical Informatics Research (BMIR), Biomedical Data Sciences
Med: Biomedical Informatics Research (BMIR), Biomedical Data Sciences
Last Updated: July 13, 2022 |
Multi-omics, multi-modal, multi-scale data fusion in complex diseases using machine learning |
Olivier Gevaert Med: Biomedical Informatics Research (BMIR), Biomedical Data Sciences
Med: Biomedical Informatics Research (BMIR), Biomedical Data Sciences
Last Updated: January 18, 2022 |
Vast amounts of molecular data characterizing the genome, epi-genome and transcriptome are becoming available for a wide range of complex disease such as cancer and neurodegenerative diseases. In addition, new computational tools for quantitatively analyzing medical and pathological images are creating new types of phenotypic data. Now we have the opportunity to integrate the data at molecular, cellular and tissue scale to create a more comprehensive view of key biological processes underlying complex diseases. Moreover, this integration can have profound contributions toward predicting diagnosis and treatment. The Gevaert lab focuses on achieving progress in multi-scale modeling by tackling challenges in biomedical multi-scale data fusion. Applications are in the area of complex diseases with most projects in the lab focused on oncology, and possible new directions studying neuro-degenerative & cardiovascular diseases. |
Olivier Gevaert Med: Biomedical Informatics Research (BMIR), Biomedical Data Sciences
Med: Biomedical Informatics Research (BMIR), Biomedical Data Sciences
Last Updated: January 18, 2022 |
Vast amounts of molecular data characterizing the genome, epi-genome and transcriptome are becoming available for a wide range of complex disease such as cancer and neurodegenerative diseases. In addition, new computational tools for quantitatively analyzing medical and pathological images are creating new types of phenotypic data. Now we have the opportunity to integrate the data at molecular, cellular and tissue scale to create a more comprehensive view of key biological processes underlying complex diseases. Moreover, this integration can have profound contributions toward predicting diagnosis and treatment. The Gevaert lab focuses on achieving progress in multi-scale modeling by tackling challenges in biomedical multi-scale data fusion. Applications are in the area of complex diseases with most projects in the lab focused on oncology, and possible new directions studying neuro-degenerative & cardiovascular diseases. |
Olivier Gevaert Biomedical Data Sciences, Med: Biomedical Informatics Research (BMIR)
Biomedical Data Sciences, Med: Biomedical Informatics Research (BMIR)
Last Updated: January 23, 2024 |
Multi-omics, multi-modal, multi-scale data fusion for precision medicine Vast amounts of biomedical data are now routinely available for patients ranging from sequencing of tissues to liquid biopsies. In addition, new computational tools for quantitatively analyzing radiographic images are now available. Multi-scale data is now available for complex diseases at molecular, cellular and tissue scale to establish a more comprehensive view of key biological processes. Intra and inter individual heterogeneities are often quoted as the main challenge for studying complex diseases. These heterogeneities exist at all scales, from microscopic to macroscopic. We develop multi-scale modeling approach to counter heterogeneity and uncover potentially untapped synergies between different data modalities by integrating information across spatial scales. Multi-scale modeling involves linking information from molecules, cells, tissues, and organs all the way to the organism and the population. We propose to use high dimensional molecular data with tissue scale image data to develop a statistical multi-scale modeling approach in the context of multi-modal & multi-scale modeling. Such modeling can contribute toward predicting diagnosis and treatment by revealing synergies and previously unappreciated relationships. Multi-scale modeling also can contribute to a more fundamental understanding of disease development and can reveal novel insights in how data at different scales are linked to each other. |
Olivier Gevaert Biomedical Data Sciences, Med: Biomedical Informatics Research (BMIR)
Biomedical Data Sciences, Med: Biomedical Informatics Research (BMIR)
Last Updated: January 23, 2024 |
Multi-omics, multi-modal, multi-scale data fusion for precision medicine Vast amounts of biomedical data are now routinely available for patients ranging from sequencing of tissues to liquid biopsies. In addition, new computational tools for quantitatively analyzing radiographic images are now available. Multi-scale data is now available for complex diseases at molecular, cellular and tissue scale to establish a more comprehensive view of key biological processes. Intra and inter individual heterogeneities are often quoted as the main challenge for studying complex diseases. These heterogeneities exist at all scales, from microscopic to macroscopic. We develop multi-scale modeling approach to counter heterogeneity and uncover potentially untapped synergies between different data modalities by integrating information across spatial scales. Multi-scale modeling involves linking information from molecules, cells, tissues, and organs all the way to the organism and the population. We propose to use high dimensional molecular data with tissue scale image data to develop a statistical multi-scale modeling approach in the context of multi-modal & multi-scale modeling. Such modeling can contribute toward predicting diagnosis and treatment by revealing synergies and previously unappreciated relationships. Multi-scale modeling also can contribute to a more fundamental understanding of disease development and can reveal novel insights in how data at different scales are linked to each other. |
Ovijit Chaudhuri Mechanical Engineering
Mechanical Engineering
Last Updated: February 23, 2024 |
My group is interested in elucidating the mechanics of cell-matrix interactions in soft tissues. We seek to understand how the mechanical properties of the extracellular matrix regulate processes such as breast cancer progression, stem cell differentiation, and cell division. Further, we aim to determine the biophysics of cell migration and division in confining 3D microenvironments. Our approach involves the use of engineered biomaterials for 3D cell culture and instrumentation to measure forces at the microscale relevant to cells. |
Oxana Palesh Psyc: Behavioral Medicine
Psyc: Behavioral Medicine
Last Updated: February 23, 2024 |
Dr. Palesh's research is in the area of cancer control. She is primarily interested in investigating the impact of cancer treatments on sleep, neurocognitive impairment, cancer-related fatigue and quality of life. Her current projects include investigating the impact of behavioral interventions (e.g., behavioral, physical activity, CAM) on improving sleep, circadian function, autonomic nervous system functioning, neurocognitive functioning, fatigue and quality of life in cancer patients and survivors. She is also investigating the relationship between dysregulation of the neuroendocrine stress response system, circadian disruption, sleep problems, fatigue, and disease progression in cancer patients with primary and metastatic cancers. Dr. Palesh's current NIH-funded studies include Phase III RCT of Brief Behavioral Intervention on Sleep, Circadian and ANS function and etiology and long-term outcome of cancer related neurocognitive impairment in newly diagnosed patients with breast cancer. Other projects are focused on understanding cancer survivorship needs and experiences of women diagnozed with cancer. |
Pascal Geldsetzer Med: Primary Care and Population Health, Epidemiology and Population Health
Med: Primary Care and Population Health, Epidemiology and Population Health
Last Updated: December 01, 2021 |
We are a highly interdisciplinary group with a diverse set of research interests that span various areas of medicine and public health. These interests include i) the use of novel causal inference techniques in electronic health record data to assess the real-life effectiveness of clinical (e.g., medications), behavioral, and health services interventions; ii) deep learning in satellite imagery and other publicly available geotagged data sources to monitor health indicators in low- and middle-income countries; iii) the re-analysis of clinical trial data to gain novel insights; and iv) randomized trials and analysis of household surveys in low- and middle-income countries to improve population health (with a focus on chronic conditions, particularly cardiovascular disease risk factors). |
Pascal Geldsetzer Med: Primary Care and Population Health, Epidemiology and Population Health
Med: Primary Care and Population Health, Epidemiology and Population Health
Last Updated: December 01, 2021 |
We are a highly interdisciplinary group with a diverse set of research interests that span various areas of medicine and public health. These interests include i) the use of novel causal inference techniques in electronic health record data to assess the real-life effectiveness of clinical (e.g., medications), behavioral, and health services interventions; ii) deep learning in satellite imagery and other publicly available geotagged data sources to monitor health indicators in low- and middle-income countries; iii) the re-analysis of clinical trial data to gain novel insights; and iv) randomized trials and analysis of household surveys in low- and middle-income countries to improve population health (with a focus on chronic conditions, particularly cardiovascular disease risk factors). |
Patricia Burchat Physics, Kavli Institute
Physics, Kavli Institute
Last Updated: July 13, 2022 |
Pat and her research group are currently working hard as part of the exciting Large Synoptic Survey Telescope Dark Energy Science Collaboration in the general area of gravitational lensing. Her group is using analytic calculations, simulations and existing astronomical images to thoroughly understand potential systematic biases and challenges in extracting accurate and precise measurements of cosmic shear from gravitational lensing with current and future surveys. Current projects include the study of chromatic effects and blended objects. |
Patricia Burchat Physics, Kavli Institute
Physics, Kavli Institute
Last Updated: July 13, 2022 |
Pat and her research group are currently working hard as part of the exciting Large Synoptic Survey Telescope Dark Energy Science Collaboration in the general area of gravitational lensing. Her group is using analytic calculations, simulations and existing astronomical images to thoroughly understand potential systematic biases and challenges in extracting accurate and precise measurements of cosmic shear from gravitational lensing with current and future surveys. Current projects include the study of chromatic effects and blended objects. |
Patricia Rodriguez Espinosa Epidemiology and Population Health
Epidemiology and Population Health
Last Updated: August 20, 2023 |
The ultimate goal of my research is to decrease health inequities among racial/ethnic minority populations, particularly Latinxs and immigrant communities, through transdisciplinary and community-engaged scholarship. Our research centers on health equity promotion and chronic disease prevention. This work employs principles of community engagement and Community Based Participatory Research and partners with multi-sectoral stakeholders to design and implement research that meets the needs of local communities. Dr. Rodriguez Espinosa has several ongoing studies and partnerships addressing issues related to cancer, chronic conditions, COVID-19, and models that can strenghten social services systems. Many of her studies partner with promotoras or Community Health Workers. She is the Associate Director of Research for the Stanford Medicine Office of Community Engagment and current chair of the Society of Behavioral Medicine Health Equity Special Insterest Group. |
Paul (PJ) Utz Med: Immunol and Rheumatology
Med: Immunol and Rheumatology
Last Updated: February 23, 2024 |
The Utz Lab focus is on the normal immune system and how it differs from the immune system of patients with immunodeficiency disorders, infections, and autoimmune diseases. Autoimmune diseases being studied include systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), systemic sclerosis (scleroderma), myositis, primary biliary cirrhosis (PBC), Sjögren's disease, insulin dependent diabetes (type I diabetes or IDDM), multiple sclerosis (MS), inflammatory bowel disease (IBD), and mixed connective tissue disease (MCTD).
|
Paula Welander Earth Energy Env Sciences
Earth Energy Env Sciences
Last Updated: January 31, 2023 |
Earth’s history is marked by atmospheric and climatic fluctuations that have shaped life and its evolution. Floral and faunal fossils have revealed that these ancient events profoundly changed the abundance and diversity of macroscopic organisms, yet much less is known about how microbial communities responded to these dramatic environmental changes. This is one of the challenges in geomicrobiology - how do we study microorganisms in the context of Earth’s distant past? While microbes do not readily leave diagnostic morphological fossils, subtle microbial signatures are preserved in sedimentary rocks for billions of years. One such group of biosignatures are well-preserved lipid compounds with specific biological origins, which can be used as biomarkers or "molecular fossils" for the presence of certain microbes or environmental conditions at the time of deposition. Despite the significant implications biomarker studies have on our interpretation of microbial evolution and Earth’s ancient environment, our understanding of the phylogenetic distribution and physiological function of these molecules in modern bacteria is quite limited. In our lab, we combine techniques from bioinformatics, genetics, physiology and biochemistry to address three general questions that can be applied to any biomarker:
|
Peter Graham Physics, Kavli Institute
Physics, Kavli Institute
Last Updated: February 23, 2024 |
Peter is broadly interested in theoretical physics beyond the Standard Model, including cosmology, astrophysics, general relativity, and even atomic physics. The Standard Model leaves many questions unanswered including the nature of dark matter and the origins of the fundamental fermion masses, the weak scale, and the cosmological constant. These and other clues such as the unification of the forces are a guide to building new theories beyond the Standard Model. Peter's group are interested in inventing novel experiments to uncover this new physics. |
Peter Graham Physics, Kavli Institute
Physics, Kavli Institute
Last Updated: February 23, 2024 |
Peter is broadly interested in theoretical physics beyond the Standard Model, including cosmology, astrophysics, general relativity, and even atomic physics. The Standard Model leaves many questions unanswered including the nature of dark matter and the origins of the fundamental fermion masses, the weak scale, and the cosmological constant. These and other clues such as the unification of the forces are a guide to building new theories beyond the Standard Model. Peter's group are interested in inventing novel experiments to uncover this new physics. |
Peter Sarnow Microbiology and Immunology
Microbiology and Immunology
Last Updated: February 23, 2024 |
Most of our recent scientific efforts are centered on the role of liver-specific microRNA miR-122 in the hepatitis C virus (HCV) life cycle. Specifically, we discovered that the HCV RNA genome binds two molecules of miR-122 at its 5’ end. This oligomeric complex forms in all HCV genotypes and its main role is to protect the viral RNA from degradation by riboexonucleases. Excitingly, sequestration of miR-122 by modified antisense oligonucleotides results in loss of HCV RNA abundance in cultured cells and infected chimpanzees. Encouraged by these results, Santaris Inc. and Regulus Inc. have performed phase I, and phase II clinical trial in HCV-infected patients. It was found that virus load diminished by several logs in all treated patients. In addition, HCV RNA was non-detectable in a few patients. Thus, treatment of patients with anti-miR-122 oligonucleotides is being explored as an additional option to combat HCV. In addition, we have made the surprising discovery that the HCV genome is fragmented to yield small circular RNAs in infected cells. We are investigating the functional consequences of this finding by hypothesizing that the circular RNAs modulate viral gene expression and innate immune responses in infected and in uninfected bystander cells.
|
Peter Yang Orthopedic Surgery, Materials Sci & Engineering, Bioengineering
Orthopedic Surgery, Materials Sci & Engineering, Bioengineering
Last Updated: February 23, 2024 |
Biomaterials, medical devices, drug delivery, stem cells and 3D bioprinting for musculoskeletal tissue engineering |
Peter Yang Orthopedic Surgery, Materials Sci & Engineering, Bioengineering
Orthopedic Surgery, Materials Sci & Engineering, Bioengineering
Last Updated: February 23, 2024 |
Biomaterials, medical devices, drug delivery, stem cells and 3D bioprinting for musculoskeletal tissue engineering |