Wu Tsai Neurosciences Institute
Showing 581-590 of 660 Results
-
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.
-
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.
-
Jeanne L. Tsai
Dunlevie Family Professor
Current Research and Scholarly InterestsMy research examines how culture shapes affective processes (emotions, moods, feelings) and the implications cultural differences in these processes have for what decisions people make, how people think about health and illness, and how people perceive and respond to others in an increasingly multicultural world.
-
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.
-
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.
-
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. -
Alexander Eckehart Urban
Associate Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator) and of Genetics
Current Research and Scholarly InterestsComplex behavioral and neuropsychiatric phenotypes often have a strong genetic component. This genetic component is often extremely complex and difficult to dissect. The current revolution in genome technology means that we can avail ourselves to tools that make it possible for the first time to begin understanding the complex genetic and epigenetic interactions at the basis of the human mind.
-
Tulio Valdez, MD, MSc
Professor of Otolaryngology - Head & Neck Surgery (OHNS) and, by courtesy, of Pediatrics
BioDr. Tulio A Valdez is a surgeon scientist with a subspecialty interest in Pediatric Otolaryngology. He attended medical school at Universidad Javeriana in Bogota Colombia before undertaking his residency in Otolaryngology, Head and Neck Surgery in Boston. He completed his Pediatric Otolaryngology Fellowship at Texas Children’s Hospital (2007), Houston and obtained his Master’s in Clinical and Translational Research at the University of Connecticut.
Clinically, Dr. Valdez has an interest in pediatric sleep apnea. He has a special interest in the management of sinus disease in cystic fibrosis. Dr. Valdez has co-authored one textbook and numerous book chapters and scientific manuscripts. Dr. Valdez continues his clinical research in these areas, particularly with a focus on aerodigestive disorders.
Scientifically, Dr. Valdez has developed various imaging methods to diagnose otitis media and cholesteatoma a middle ear condition that can lead to hearing loss. He was part of the Laser Biomedical Research Center at the Massachusetts Institute of Technology. His research includes novel imaging modalities to better diagnose ear infections one of the most common pediatric problems. His research has now expanded to include better intraoperative imaging modalities in pediatric patients to improve surgical outcomes without the need for radiation exposure.
Dr. Valdez believes in multi-disciplinary collaborations to tackle medical problems and has co-invented various medical devices and surgical simulation models.
