PRISM Mentors

Our research focus is in computational systems biology, primarily in cancer and more recently in neurodegenerative diseases.  We develop and apply methods to understand biological processes underlying disease, using high-throughput genomic and proteomic datasets and integrating them with phenotypes and clinical outcomes. A key interest is dissecting how the cellular composition and organization of tissues affects their behaviour in disease; and how these things might be targeted for therapy or diagnostic purposes. We collaborate with many wet lab and clinical groups at Stanford, including in the areas of cancer, immunology, and neuroscience.

My research utilizes multimodal imaging (fMRI, dMRI, qMRI), computational modeling, and behavioral measurements to investigate human visual cortex. We seek to understand how the underlying neural mechanisms and their anatomical implementation enable rapid and efficient visual perception and recognition. Critically, we examine how the human brain and visual perception change across development to understand how the interplay between anatomical constraints and experience shapes visual cortex and ultimately behavior.

We strive to create a lab that reflects the diversity of our global community and is actively involved in solving scientific and societal problems that affect all of us. I am also involved in the Wu Tsai Neurosciences Institute and the Ophthalmology T32 training grant.

The research interests of the molecular imaging instrumentation lab are to create novel instrumentation and software algorithms for in vivo imaging of molecular signatures of disease in humans and small laboratory animals. These new cameras efficiently image radiation emissions in the form of positrons, annihilation photons, gamma rays, and/or light emitted from molecular contrast agents that were introduced into the body and distributed in the subject tissues. These contrast agents are designed to target molecular pathways of disease biology and enable imaging of these biological signatures in tissues residing deep within the body using measurements made from outside the body.

The goals of the instrumentation projects are to advance the sensitivity and spatial, spectral, and/or temporal resolutions, and to create new camera geometries for special biomedical applications. The computational modeling and algorithm goals are to understand the physical system comprising the subject tissues, radiation transport, and imaging system, and to provide the best available image quality and quantitative accuracy.

The work involves designing and building instrumentation, including arrays of position sensitive sensors, readout electronics, and data acquisition electronics, signal processing research, including creation of computer models, and image reconstruction, image processing, and data/image analysis algorithms, and incorporating these innovations into practical imaging devices.

The ultimate goal is to introduce these new imaging tools into studies of molecular mechanisms and treatments of disease within living subjects.

The overarching goal of Brain Dyanamics Lab is to develop computational methods that could allow for anchoring psychiatric diagnosis into biological features (e.g., neural circuits, spatiotemporal neurodynamics). The lab is funded through an NIH Director’s New Innovator Award (DP2), an NIMH R01, and a faculty scholar award from Stanford’s Maternal and Child Health Research Institute. Our lab excels in developing data-driven computational methods to generate clinically and behaviorally relevant insights from high-dimensional biological data (e.g., neuroimaging) without necessarily averaging the data at the outset. The lab also actively pursue developing novel technologies for experimental design and data collection for enhancing human cognition (e.g., creativity and collaboration). Lastly, the lab also uses large-scale biophysical network modeling approaches to study effects of neuromodulation via TMS and pharmacology (e.g., psychedelics).

Dr. Michael Zeineh received a B.S. in Biology at Caltech in 1995 and obtained his M.D.-Ph.D. from UCLA in 2003. After internship also at UCLA, he went on to radiology residency and neuroradiology fellowship both at Stanford. He has been faculty in Stanford Neuroradiology since 2010. He spearheads many initiatives in advanced clinical imaging at Stanford, including clinical fMRI and DTI. Simultaneously, he runs a lab with the goal of discovering new imaging abnormalities in neurodegenerative disorders, with a focus on detailed microcircuitry in regions such as the hippocampal formation using advanced, multi-modal in vivo and ex vivo methods, with applications to neurodegenerative disorders such as Alzheimer’s disease and mild traumatic brain injury.

Specific projects:

Ex vivo MRI of iron in Alzheimer’s disease
MR-histopathology correlation (both traditional histology and clearing methods)
MR-PET of AD
7T MR in AD
Analysis of iron-changes in exosomes from AD
Multi-modal MRI (DTI, ASL, QSM, rsfMRI) in mild traumatic brain injury
7T MR in Epilepsy
Ultra-high resolution 7T MRI
X-ray imaging of iron
X-ray imaging of myelin and myelin orientation
Scattered light imaging
Hippocampal microanatomy

The Bernstein Lab has several major foci:
 

1. Using iPSC-derived cardiomyocytes to develop a better understanding of hypertrophic cardiomyopathy and congenital heart disease.
2. The role of alterations in mitochondrial structure and function in normal physiology and in diseases such as dilated and hypertrophic cardiomyopathy.
3. Single cell analysis of mitochondrial function reveals significant heterogeneity.

Specific projects underway in our lab include:

1. Using CRISPR-edited iPSC-cardiomyocytes to understand the mechanisms of cardiomyopathies and to solve the genotype-phenotype conundrum in hypertrophic cardiomyopathy.

2. The role of altered metabolism and mitochondrial function in hypertrophic cardiomyopathy.

3. Alterations of mitochondrial structure and function, including processes of mitofusion, mitofission, autophagy and mitophagy, in normal physiology and disease.

4. Development of high-throughput single cell imaging technologies to measure single cell mitochondrial function, and to measure single mitochondrial function to determine the role of heterogeneity in cell life-death decision-making.

5. Development of micro-engineered platforms for assessment of biomechanics of single iPSC-derived cardiomyocytes.

We also are interested in clinical heart failure and cardiac transplantation in children, specifically:

1. Understanding alterations in immune system function in patients with after implantation of a left ventricular assist device, Immune system biomarkers that predict adverse outcomes after pediatric VAD implantation.

2. Understanding alterations in immune system function in children with heart failure before and after heart transplant.

3. Development of biomarkers for the detection and monitoring of post-transplant lymphoproliferative disorder in pediatric solid organ transplant patients.
 

Possible T-32 Options Include:
Training in Myocardial Biology at Stanford (TIMBS)

We are an interdisciplinary team focusing on generating new biomaterials to tackle healthcare challenges of critical importance to society. We are using these new biomaterials as sustained delivery technologies that can act as tools to better understand fundamental biological processes and to engineer next-generation healthcare solutions.

Stanford Solutions Science Lab.

The Stanford Solutions Science Lab designs solutions to improve health and well-being of children, families, and the planet.  Dr. Robinson originated the solution-oriented research paradigm. He is known for his pioneering obesity prevention and treatment research, including the concept of stealth interventions. His research applies social cognitive models of behavior change to behavioral, social, environmental and policy interventions for children and families in real world settings, making the results relevant for informing clinical and public health practice and policy. His research is largely experimental, conducting rigorous school-, family- and community-based randomized controlled trials. He studies obesity and disordered eating, nutrition, physical activity/inactivity and sedentary behavior, the effects of television and other screen time, adolescent smoking, aggressive behavior, consumerism, and behaviors to promote environmental sustainability. Rich longitudinal datasets of physical, physiological, psychological, behavioral, social, behavioral, and multi-omics measures are available from our many community-based obesity prevention and treatment trials in low-income and racial/ethnic minority populations of children and adolescents and their parents.

Stanford Screenomics Lab - Human Screenome Project.

People increasingly live their lives through smartphones. Our Stanford Screenomics app captures everything that people see and do on their smartphone screens – a record of digital life – by taking a screenshot every 5 seconds. The resulting sequence of screenshots, make up an individual’s screenome, an unique and dynamic sequence of exposures, thoughts, feelings, and actions. To date, we have collected more than 350 million screenshots from 6-12 months of phone use from national samples of about 500 hundred adults and adolescents and their parents. Opportunities available to study the screenome to understand digital media use and its impacts on health and behavior,  develop novel diagnostics and prognostics from the screenome, and deliver precision interventions to improve health and well being. An opportunity to help build this paradigm-disrupting new science.

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

Welcome to the Weinacht Lab, where we study hematopoiesis and immune system development in the context of specific, clinically relevant, genetic defects. A physician scientist with formal training in hematology/oncology/stem cell transplantation and never-ending fascination with the immune system, I have always been captivated by inborn errors in immunity and hematopoiesis. Our team focuses on solving the molecular puzzles that underly rare diseases to shed light on fundamental principles governing hematopoiesis and immune system development. Our goal is to find better therapies for patients. We are a young and dynamic group, driven by excitement for scientific discovery. Our lab is home to a mindset of growth and possibility. Curious? Come check us out...

Giardino Lab: Circuits & Systems Neuroscience

Our research group aims to decipher the neural mechanisms underlying the interactions between psychiatric conditions of addiction, stress, and sleep disturbances. The Giardino Lab uses in vivo physiological tools for neural recording and neuromodulation in genetic mouse models to dissect the neuropeptide basis of extended amygdala circuit function in motivated behaviors with molecular and synaptic resolution. The lab, located in the Department of Psychiatry & Behavioral Sciences' Center for Sleep Sciences and Medicine, is currently accepting applicants for postdoctoral researchers.

Research Topics

• Stress & Reward
• Drug Addiction
• Sex Differences
• Wakefulness/Arousal
• Neuropeptide Release & Signaling
• Feeding & Metabolism

 Research Approaches

• Neuromodulation (optogenetics, chemogenetics)
• Neurophysiological recordings (fiber photometry, calcium imaging, EEG/EMG)
• Neurogenetics (CRISPR/Cas9 editing, Cre/loxP recombination, viral gene transfer, mouse genetics) 
• Neuroanatomy (circuit tracing, immunohistochemistry, in situ hybridization, confocal & light sheet microscopy)
• Neuropharmacology (alcohol & drug self-administration, receptor mechanisms)
• Computation (neural circuit modeling, machine learning analysis of behavioral & physiological datasets)
• Behavior and Evolution (rodent model organisms, cross-species comparisons)
• Translation (interdisciplinary and clinical collaborations, treatment development)

Required Qualifications:
Ph.D. in neuroscience/ psychology/ biology/ related field (or other doctoral degree with relevant research experience)
Excellent publication record (including first-author papers)
Enthusiasm for making new discoveries on the neural basis of behavior (stress, addiction, sleep/wake arousal states)
Computational expertise / programming skills (strongly encouraged but not required)
Commitment to advancing diversity, equity, and inclusion at Stanford (non-negotiable)

Required Application Materials:
Curriculum Vitae
Cover letter describing your interest in the position (1-2 brief paragraphs)
Contact info for 2+ references (name & email address)

Contact: willgiar at stanford dot edu

My laboratory develops and implements ultrasonic beamforming methods, ultrasonic imaging modalities, and ultrasonic systems and devices. Our current focus is on beamforming methods that are capable of generating high-quality images in the difficult-to-image patient population. These methods include coherence beamforming techniques and neural network beamformers for general B-mode and Doppler imaging, sound speed estimation for quantification of liver steatosis and image correction, and molecular imaging techniques for early cancer detection. We attempt to build these imaging methods into real-time imaging systems in order to apply them to clinical applications for the difficult-to-image patient population. Other projects in our laboratory include the development of novel ultrasonic imaging devices, such as small, intravascular ultrasound arrays that are capable of generating high acoustic output to elucidate the mechanical properties and structure of vascular plaques, and the development of ultrasound-guided drug delivery and therapy systems for cancer and diabetes applications.

Our interdisciplinary lab pursues research centered around advanced polymer 3D fabrication methods and their applications in human health. Focus areas include (1) creating new digital polymer 3D printing capabilities, such as single-micron resolution printing and novel multi-materials printing methods; (2) synthesizing new polymers for 3D printing, with interests in composites, bioabsorbable materials, and recyclable materials; and (3) employing our 3D printing materials and process advances for clinical applications in areas including: new medical device opportunities; vaccine platform development via the advancement of novel microneedle designs; precision delivery of therapies (molecular and cellular) and vaccines; molecular monitoring; and device-assisted, targeted drug delivery, including for cancer treatment. We also pursue novel digital treatment planning approaches using 3D printed medical devices, with our current focus on pediatric therapeutic devices. In this area, we are working with partners at Stanford to design devices and treatment planning solutions for babies with conditions including cleft palate and Pierre Robin Sequence. Complementing these research areas, our lab also emphasizes entrepreneurship; diversity, equity, and inclusion; implications of the digital revolution in the manufacturing sector; and strategies toward achieving a circular economy.ch

Prof. Wang directs the Center for Magnetic Nanotechnology and is a leading expert in biosensors, information storage and spintronics. His research and inventions span across a variety of areas including magnetic biochips, in vitro diagnostics, cancer biomarkers, magnetic nanoparticles, magnetic sensors, magnetoresistive random access memory, and magnetic integrated inductors. 

Her lab seeks to understand the unique biological mechanisms of human placentation. While the placenta itself is one of the key characteristics for defining mammals, the human placenta is different from most available animal models: it is one of the most invasive placentas, and results in the formation of an organ comprised of cells from both the fetus and the mother. In addition to this fascinating chimerism, fetal cells are deeply involved in the remodeling of the maternal vasculature in order to redirect large volumes of maternal blood to the placenta to support the developing fetus. As such, the investigation of this human organ covers a large array of biological processes, and deals not only with understanding its endocrine function, but the physiologic process of immune tolerance, vascular remodeling, and cellular invasion.

As a physician scientist, Dr. Winn’s ultimate goal is to see this knowledge translate to improved clinical care resulting in healthier mothers and babies. Her lab uses a combination of molecular, cellular, tissue and translational studies in their research.

We study the genetic and molecular mechanisms that regulate proliferation and differentiation in adult stem cell lineages, using the Drosophila male germ line as a model.  Our current work is focused on the switch from mitosis to meiosis and how the new gene expression program for cell type specific terminal differentiation is turned on.  One emerging surprise is the potential role of alternative processing of nascent mRNAs in setting up the dramatic change in cell state

The Winn laboratory seeks to understand the unique biological mechanisms of human placentation. Abnormalities in placental development and function account for many obstetric complications. The pregnancy complication of preclampsia is the primary diseease process that the lab studies ,which is a major couase of maternal and fetal morbidity and mortality. While the placenta itself is one of the key characteristics for defining mammals, placental development is not highly conserved across species and therefore human placental biology is different from most available animal models: it is one of the most invasive placentas, and results in the formation of an organ comprised of cells from both the fetus and the mother. In addition to this fascinating chimerism that requires maternal immune adaptations to avoid rejection of the allograph fetus, placental cells are deeply involved in the remodeling of the maternal vasculature, in order to redirect large volumes of maternal blood to the placenta to support the developing fetus. The molecular and cellular aspects of human placenta invasion are often copted by cancers.  The placenta is also a critical endorcrine organ which orchestrates the many physiologic and metabolic changes that occur in pregnancy. As such, the investigation of this human organ covers a broad array of human biological processes.  The lab is dedicated to undertake, the challenge of shedding understanding into the human placental process of immune tolerance, vascular remodeling,  cellular invasion and endocrine function.   The Winn Lab uses a combination of human samples, in vitro cellular and organoid model systems to dissect the molecular and cellular basis of placental function as well as investigates pregnancy cohort for translational studies to improve prediction, diagnosis and treatment of obstetrical complications.  The ultimate goal of the Winn Lab is to improve pregnancy health for the pregnant person and their offspring and train the next generation of reproductive and perinatal scientists. 

Giardino Lab: Circuits & Systems Neuroscience

Our research group aims to decipher the neural mechanisms underlying the interactions between psychiatric conditions of addiction, stress, and sleep disturbances. The Giardino Lab uses in vivo physiological tools for neural recording and neuromodulation in genetic mouse models to dissect the neuropeptide basis of extended amygdala circuit function in motivated behaviors with molecular and synaptic resolution. The lab, located in the Department of Psychiatry & Behavioral Sciences' Center for Sleep Sciences and Medicine, is currently accepting applicants for postdoctoral researchers.

Research Topics

• Stress & Reward
• Drug Addiction
• Sex Differences
• Wakefulness/Arousal
• Neuropeptide Release & Signaling
• Feeding & Metabolism

 Research Approaches

• Neuromodulation (optogenetics, chemogenetics)
• Neurophysiological recordings (fiber photometry, calcium imaging, EEG/EMG)
• Neurogenetics (CRISPR/Cas9 editing, Cre/loxP recombination, viral gene transfer, mouse genetics) 
• Neuroanatomy (circuit tracing, immunohistochemistry, in situ hybridization, confocal & light sheet microscopy)
• Neuropharmacology (alcohol & drug self-administration, receptor mechanisms)
• Computation (neural circuit modeling, machine learning analysis of behavioral & physiological datasets)
• Behavior and Evolution (rodent model organisms, cross-species comparisons)
• Translation (interdisciplinary and clinical collaborations, treatment development)

Required Qualifications:
Ph.D. in neuroscience/ psychology/ biology/ related field (or other doctoral degree with relevant research experience)
Excellent publication record (including first-author papers)
Enthusiasm for making new discoveries on the neural basis of behavior (stress, addiction, sleep/wake arousal states)
Computational expertise / programming skills (strongly encouraged but not required)
Commitment to advancing diversity, equity, and inclusion at Stanford (non-negotiable)

Required Application Materials:
Curriculum Vitae
Cover letter describing your interest in the position (1-2 brief paragraphs)
Contact info for 2+ references (name & email address)

Contact: willgiar at stanford dot edu

We are a computational neuropsychiatry lab dedicated to developing computational methods to better understand brain’s overall dynamical organization in healthy and patient populations. We employ algorithms from a wide range of fields, including Applied Mathematics, Econometrics, Machine Learning, Biophysics, and Network Science.

We have immediate multiple openings for postdoc and research engineer/scientist positions. Please contact Dr. Manish Saggar (saggar@staford.edu), Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Science Research), for any questions and for applications. 

See here for more details - https://braindynamicslab.github.io/misc/join/

 

The PIMed Laboratory has a multi-disciplinary direction and focuses on developing analytic methods for biomedical data integration, with a particular interest in radiology-pathology fusion to facilitate radiology image labeling . The radiology-pathology fusion allows the creation of detailed spatial labels, that later on can be used as input for advanced machine learning, such as deep learning. The recent focus of the lab has been on applying deep learning methods to detect and differentiate aggressive from indolent prostate cancers on MRI using the pathology information (both labels and the image content). Other applications include breast cancer and brain samples. 

My professional focus has been on developing a thriving and supportive research group in which the next generation of interdisciplinary scientists are trained to tackle long-standing and newly emerging questions in virology.  Our research has been driven towards elucidation of molecular mechanisms of viral replication and the development of new strategies to combat viral pathogens. A unifying theme in my work has been the use of new tools to explore questions in virology that have been inaccessible using conventional methods. My recent research efforts have centered on two significant problems: first, addressing the challenges that limit our current arsenal of antivirals by developing novel, first-in-class small molecules; and second, understanding the specificity and function of host lipids in RNA virus replication.