Vice Provost and Dean of Research
Showing 2,211-2,220 of 2,496 Results
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Mark Roland Thomas
Affiliate, FSI
BioCurrently Director at the World Bank for Mexico, Colombia, and Venezuela, based in Mexico City, in post since 2021. Prior to this post, Director, Country Credit Risk for the same institution, based in Washington, DC.
PhD, Economics, Princeton University (advisor: Angus Deaton).
BA, Mathematics (first class), University of Oxford (New College).
British citizen. -
Stuart Thompson
Professor of Biology (Hopkins Marine Station)
Current Research and Scholarly InterestsNeurobiology, signal transduction
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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.
