Vice Provost and Dean of Research
Showing 1,041-1,050 of 1,155 Results
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Hawa Racine Thiam
Assistant Professor of Bioengineering and of Microbiology and Immunology
Current Research and Scholarly InterestsOur current work has two branches. Branch #1 is building a quantitative and predictive understanding of how neutrophils initiate and complete NETosis. Branch #2 is identifying the molecular and biophysical mechanisms that regulate high deformability in neutrophils. These branches converge onto understanding and harnessing the impact of nuclear biophysics on immune cell functions to re-engineer neutrophils for improved health.
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Robert Tibshirani
Professor of Biomedical Data Science and of Statistics
Current Research and Scholarly InterestsMy research is in applied statistics and biostatistics. I specialize in computer-intensive methods for regression and classification, bootstrap, cross-validation and statistical inference, and signal and image analysis for medical diagnosis.
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Alice Ting
Professor of Genetics, of Biology and, by courtesy, of Chemistry
On Leave from 09/22/2025 To 06/10/2026Current Research and Scholarly InterestsWe develop chemogenetic and optogenetic technologies for probing and manipulating protein networks, cellular RNA, and the function of mitochondria and the mammalian brain. Our technologies draw from protein engineering, directed evolution, computational design, chemical biology, organic synthesis, microscopy, and genomics.
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Andreas Tolias
Professor of Ophthalmology
BioAndreas Tolias is a faculty member at Stanford University, where he co-leads the Enigma Project. His research lies at the interface of neuroscience and AI, combining large-scale neuroscience experiments with machine learning to uncover the principles of natural intelligence. By focusing on perceptual inference and decision-making, his lab integrates systems and computational neuroscience with AI to decipher the network-level principles of intelligence. Dr. Tolias’s work aims to reverse-engineer these principles to create AI systems that are smarter, more robust, trustworthy, and efficient, while providing a powerful platform to test brain algorithms under complex natural tasks. He earned his B.A. and M.A. in Natural Sciences from the University of Cambridge, a Ph.D. in Systems and Computational Neuroscience from MIT, and completed postdoctoral training in Neuroscience and Machine Learning at the Max Planck Institute for Biological Cybernetics in Tübingen.
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Natalie Torok
Professor of Medicine (Gastroenterology and Hepatology)
Current Research and Scholarly InterestsOur lab is focused on exploring the role of matrix remodeling in disease progression in metabolic dysfunction steatohepatitis (MASH)-related hepatocellular carcinoma and primary sclerosing cholangitis. Our goal is to uncover how biomechanical characteristics of the ECM affect mechano-sensation, and how these pathways could ultimately be targeted. We are also interested in aging and its effects on metabolic pathways in MASH and HCC.
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Brian Trippe
Assistant Professor of Statistics and, by courtesy, of Computer Science
BioDr. Brian Trippe is an assistant professor at Stanford in the Department of Statistics, with an affiliation in Stanford Data Science.
In his research, Dr. Trippe develops probabilistic machine learning methods to address challenges in biotechnology and medicine. Recently, his focus has been on generative modeling and inference algorithms for protein engineering.
Before joining Stanford, Dr. Trippe was a postdoctoral fellow at Columbia University in the Department of Statistics, and a visiting researcher at the Institute for Protein Design at the University of Washington. -
Philip S. Tsao, PhD
Professor (Research) of Medicine (Cardiovascular Medicine)
Current Research and Scholarly InterestsOur primary interests are in the molecular underpinnings of vascular disease as well as assessing disease risk. In addition to targeted investigation of specific signaling molecules, we utilize global genomic analysis to identify gene expression networks and regulatory units. We are particularly interested in the role of microRNAs in gene expression pathways associated with disease.
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Richard Tsien
George D. Smith Professor, Emeritus
Current Research and Scholarly InterestsWe study synaptic communication between brain cells with the goal of understanding neuronal computations and memory mechanisms. Main areas of focus include: presynaptic calcium channels, mechanisms of vesicular fusion and recycling. Modulation of synaptic strength through changes in postsynaptic receptors and dendritic morphology. Signaling that links synaptic activity to nuclear transcription and local protein translation. Techniques include imaging, electrophysiology, molecular biology.
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Jason Tucciarone, MD, PhD
Assistant Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology)
BioJason Tucciarone, MD, PhD is an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at Stanford School of Medicine. A neuroscientist and psychiatrist, he leads a laboratory focused on uncovering the biological mechanisms of mental illness and developing novel therapies for mood disorders and addiction. His research centers on defining new cell types and evolutionarily conserved neural circuits involved in emotional processing, with the goal of identifying new therapeutic entry points. Using optogenetic, chemogenetic, neuroimaging, and behavioral approaches in mouse models of addiction, his lab investigates vulnerable brain circuitry underlying opioid use disorder. He also works and collaborates with the Depression Research Clinic, participating in academic and industry sponsored clinical trials investigating novel antidepressant therapies.
Clinically, Dr. Tucciarone works in Stanford’s Neuropsychiatry Clinic, where he treats patients with complex presentations at the interface of psychiatry and neurology, with particular interest in functional neurological disorders. He also sees a small cohort of psychotherapy patients in the Individual Psychotherapy Clinic and works shifts on Stanford’s inpatient psychiatry units.
Dr. Tucciarone completed his psychiatry training through Stanford’s Research Residency Track, where he conducted postdoctoral research under the supervision of Drs. Robert Malenka and Alan Schatzberg. During residency, his research examined neural circuits recruited during opioid withdrawal and explored strategies to enhance the anti-suicidal effects of ketamine through μ-opioid receptor partial agonism.
He received his bachelor’s degree in biology and philosophy from Union College, followed by three years as a Post-Baccalaureate IRTA fellow at the National Institute of Neurological Disorders and Stroke, where he developed MRI-reportable contrast agents to map neuronal connectivity. He then entered the Medical Scientist Training Program (MD/PhD) at Stony Brook University, completing his PhD in neuroscience under the mentorship of Dr. Josh Huang at Cold Spring Harbor Laboratory. His doctoral work used mouse genetic approaches to dissect excitatory and inhibitory cortical circuits, with a focus on chandelier interneurons in the prefrontal cortex.
In addition to his research and clinical work, Dr. Tucciarone is deeply committed to teaching and mentorship. During residency, he helped restructure neuroscience education for trainees and currently teaches introductory lectures on the neuroscience of addiction, PTSD, psychosis, and mood disorders. He leads resident group supervision in introductory psychodynamic psychotherapy and supervises undergraduates, medical students, residents, and clinical fellows in psychiatry clinics. -
Shripad Tuljapurkar
The Dean and Virginia Morrison Professor of Population Studies
Current Research and Scholarly InterestsStochastic dynamics of human and natural populations; prehistoric societies; probability forecasts including sex ratios, mortality, aging and fiscal balance; life history evolution.