Wu Tsai Neurosciences Institute
Showing 11-20 of 21 Results
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Avnesh Thakor
Professor of Radiology (Pediatric Radiology)
Current Research and Scholarly InterestsInterventional Radiologists can access almost any part of the human body without the need for conventional open surgical techniques. As such, they are poised to change the way patients can be treated, given they can locally deliver drug, gene, cell and cell-free therapies directly to affected organs using image-guided endovascular, percutaneous, endoluminal, and even using device implantation approaches
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Suzanne Tharin
Associate Professor of Neurosurgery
Current Research and Scholarly InterestsThe long-term goal of my research is the repair of damaged corticospinal circuitry. Therapeutic regeneration strategies will be informed by an understanding both of corticospinal motor neuron (CSMN) development and of events occurring in CSMN in the setting of spinal cord injury. MicroRNAs are small, non-coding RNAs that regulate the expression of “suites” of genes. The work in my lab seeks to identify microRNA controls over CSMN development and over the CSMN response to spinal cord injury.
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Stuart Thompson
Professor of Biology (Hopkins Marine Station)
Current Research and Scholarly InterestsNeurobiology, signal transduction
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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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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.
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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.
