Natural Sciences
Showing 1,601-1,700 of 1,952 Results
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Hua Tang
Professor of Genetics and, by courtesy, of Statistics
Current Research and Scholarly InterestsDevelop statistical and computational methods for population genomics analyses; modeling human evolutionary history; genetic association studies in admixed populations.
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Stuart Thompson
Professor of Biology (Hopkins Marine Station)
Current Research and Scholarly InterestsNeurobiology, signal transduction
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Lu Tian
Professor of Biomedical Data Science and, by courtesy, of Statistics
Current Research and Scholarly InterestsMy research interest includes
(1) Survival Analysis and Semiparametric Modeling;
(2) Resampling Method ;
(3) Meta Analysis ;
(4) High Dimensional Data Analysis;
(5) Precision Medicine for Disease Diagnosis, Prognosis and Treatment. -
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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Lauren Tompkins
Associate Professor of Physics
Current Research and Scholarly InterestsProfessor Tompkins’s research focuses on understanding the relationships which govern matter’s most fundamental constituents. As a member of the ATLAS experiment at the Large Hadron Collider (LHC), she utilizes the world’s highest energy person-made particle collisions in order to understand the mechanism that gives particles mass, whether or not our current model of elementary particle interactions is a complete description of nature, and if dark matter can be produced and studied in colliders.
In order to search for the exceedingly rare interactions which may provide insight to these questions, the LHC will produce a blistering rate of 50 to 80 proton-proton collisions every 25 nanoseconds in 2015 and beyond. Professor Tompkins works on the design and implementation of custom electronics which will improve the ATLAS experiment’s ability to pick out the collisions which produce the Higgs bosons, dark matter particles and other rare events out of the deluge of ordinary interactions. Her group focuses on particles called heavy flavor fermions, the most massive particles not responsible for mediating interactions. Because they are so heavy, they may have a special connection to the origin of mass or physics beyond our current models of particle interactions.
She is additionally a member of the Light Dark Matter Experiment (LDMX), a proposed experiment to produce and detect dark matter in the laboratory utilizing an accelerated beam of electrons, and the Heavy Photon Search Experiment, which searches for visible decays of dark photons.
Please see her group website for a full description of her research activities. -
Dat Tran
Masters Student in Statistics, admitted Autumn 2024
BioDat Tran is an M.S. Statistics/ Data Science student in the Stanford Statistics department. Prior to joining Stanford, Dat was a Data Scientist at Mobilewalla, where he was the co-author of Anovos, one of the most efficient PySpark open-source libraries for large-scale data, as well as multiple B2B Data Science solutions in Telecommunications, FinTech and Large Language Models (LLMs). Dat graduated Cum Laude with a bachelor's in Data Science at University of Texas at Dallas.
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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. -
Barry Trost
Job and Gertrud Tamaki Professor in the School of Humanities and Sciences, Emeritus
BioBorn in Philadelphia, Pennsylvania, Barry Trost began his university training at the University of Pennsylvania (BA, 1962) and completed his Ph.D. in Chemistry at the Massachusetts Institute of Technology (1965). He moved directly to the University of Wisconsin, where he was promoted to Professor of Chemistry and subsequently Vilas Research Professor. He joined the faculty at Stanford as Professor of Chemistry in 1987 and became Tamaki Professor of Humanities and Sciences in 1990. In addition to serving multiple visiting professorships, Professor Trost was presented with a Docteur honoris causa of the Université Claude-Bernard (Lyon I), France, and in 1997 a Doctor Scientiarum Honoris Causa of the Technion, Haifa, Israel. In recognition of his innovations and scholarship in the field of organic synthesis, Professor Trost has received the ACS Award in Pure Chemistry, ACS Award for Creative Work in Synthetic Organic Chemistry, Arthur C. Cope Scholar Award, and the Presidential Green Chemistry Challenge Award, among many others. Professor Trost has been elected a Fellow of the American Academy of Arts and Sciences, American Chemical Society, and American Association for the Advancement of Science, and a member of the National Academy of Sciences, and served as Chairman of the NIH Medicinal Chemistry Study Section. He has held over 125 special university lectureships and presented over 270 Plenary Lectures at national and international meetings. He has published two books and over 950 scientific articles. He edited a major compendium entitled Comprehensive Organic Synthesis consisting of nine volumes and serves on the editorial board for Science of Synthesis and Reaxys.
The Trost Group’s research program revolves around the theme of synthesis, including target molecules with potential applications as novel catalysts, as well as antibiotic and antitumor therapies. The work comprises two major activities: 1) developing the tools, i.e., the reactions and reagents, and 2) creating the proper network of reactions to make complex targets readily available from simple starting materials.
Efforts to develop "chemists' enzymes" – non-peptidic transition metal based catalysts that can perform chemo-, regio-, diastereo-, and especially enantioselective reactions – focus close attention to the question of atom economy to minimize waste, energy, and consumption of raw materials.
Synthetic efficiency raises the question of metal catalyzed cycloadditions to rings other than six-membered. A general strategy is evolving for a "Diels-Alder" equivalent for formation of five, seven, nine, etc. membered carbo- and heterocyclic rings.
An exciting new direction derives from the molecular gymnastics acetylenes undergo in the presence of transition metals. Additional specific goals include cycloisomerization to virtually all types of ring sizes and systems with particularly versatile juxtaposition of functionality.
Palladium and ruthenium catalysts represent a major part of the lab's efforts, in order to invent new synthetic processes together with new opportunities for selectivity complementary to that obtained using other metal complexes. Main group chemistry, especially involving silicon, zinc, and sulfur, also offers many opportunities for new reaction design. Rational design of novel catalysts for asymmetric additions to carbonyl and imine groups are an exciting thrust.From these new synthetic tools evolve new synthetic strategies towards complex natural products. Targets include β-lactam antibiotics, ionophores, steroids and related compounds (e.g., Vitamin D metabolites), alkaloids, nucleosides, carbohydrates, and macrolide, terpenoid, and tetracyclic antitumor and antibiotic agents. -
Albert Tsao
Basic Life Research Scientist
BioHoward Hughes Medical Institute Fellow of The Helen Hay Whitney Foundation
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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.
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John Turneaure
Professor (Research) of Physics, Emeritus
BioJohn received his PhD in physics from Stanford University. He later became a research associate in W.W. Hansen Experimental Physics Laboratory. Following, he acted as an assistant professor of physics, senior research associate, and professor. Research interests include experimental and observational astrophysics and cosmology.
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Zhainib A. Amir
Ph.D. Student in Biology, admitted Autumn 2020
BioI received my B.S. in Microbiology, and M.S. in Cell and Molecular Biology from San Francisco State University. Currently, I am a Biology Ph.D. student with an emphasis in Cell, Molecular and Organismal Biology at Stanford University. I am interested in a range of topics, from cell biology to cancer immunology, however, my research interests lie primarily in understanding the cellular mechanisms at play in genetic and autoimmune diseases.
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Ravi Vakil
Robert Grimmett Professor of Mathematics
Current Research and Scholarly InterestsAlgebraic geometry and related subjects. For a complete publication list, see my publication page http://math.stanford.edu/~vakil/preprints.html rather than the list here.
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Andras Vasy
Robert Grimmett Professor of Mathematics
On Leave from 10/01/2025 To 06/30/2026Current Research and Scholarly InterestsMy research concentrates on topics in two broad areas of applications of microlocal analysis in which, partly with collaborators, I introduced new ideas in recent years: non-elliptic linear and non-linear partial differential equations (PDE), typically concerning wave propagation or other related phenomena, and inverse problems for X-ray type transforms along geodesics and related problems for determining the metric tensor from boundary measurements.
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Juliana Velez-Gomez
Postdoctoral Scholar, Biology
BioJuliana VĂ©lez (she/her) is a postdoctoral researcher with the Natural Capital Project, studying land-use change and vector-borne disease risk. Her research applies quantitative ecological methods to understand interactions among species, their habitat, and anthropogenic disturbance. Juliana's work incorporates ecological experimentation and collaborations with decision makers to assess the effectiveness of conservation actions for improving ecosystems. She conducts her research under open science standards and has contributed to the development of online resources for reproducible research, including the publication of guides, datasets, and code related to statistical modeling and data processing using artificial intelligence. Juliana earned her Ph.D. in Conservation Sciences from the University of Minnesota.
