Stanford University
Showing 241-250 of 540 Results
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Mathew Kiang
Assistant Professor of Epidemiology and Population Health (Epidemiology)
BioI am an assistant professor in the Department of Epidemiology and Population Health. My research lies at the intersection of computational epidemiology and social epidemiology. Methodologically, my work revolves around combining disparate data sources in epidemiologically meaningful ways. For example, I work with individual-level, non-health data (e.g., GPS, accelerometer, and other sensor data from smartphones), traditional health data (e.g., survey, health systems, or death certificate data), and third-party data (e.g., cellphone providers or ad-tech data). To do this, I use a variety of methods such as joint Bayesian spatial models, traditional epidemiologic models, dynamical models, microsimulation, and demographic analysis. Substantively, my work focuses on socioeconomic and racial/ethnic inequities. For example, recently, my work has examined inequities in COVID-19 vaccine distribution, cause-specific excess mortality, and drug poisonings. I have an NIDA-funded R00 examining equitable ways to improve treatment for opioid use disorder across structurally disadvantaged groups and am Co-I on a NIDA-funded R21 examining ways to use novel data sources (such as social media) to predict surges in opioid-related mortality.
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Peter S. Kim
Virginia and D. K. Ludwig Professor of Biochemistry
Current Research and Scholarly InterestsWe are studying the mechanism of viral membrane fusion and its inhibition by drugs and antibodies. We use the HIV envelope protein (gp120/gp41) as a model system. Some of our studies are aimed at creating an HIV vaccine. We are also characterizing protein surfaces that are referred to as "non-druggable". These surfaces are defined empirically based on failure to identify small, drug-like molecules that bind to them with high affinity and specificity.
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Seung K. Kim M.D., Ph.D.
KM Mulberry Professor, Professor of Developmental Biology, of Medicine (Endocrinology) and, by courtesy, of Pediatrics (Endocrinology)
Current Research and Scholarly InterestsWe study the development of pancreatic islet cells using molecular, embryologic and genetic methods in several model systems, including mice, pigs, human pancreas, embryonic stem cells, and Drosophila. Our work suggests that critical factors required for islet development are also needed to maintain essential functions of the mature islet. These approaches have informed efforts to generate replacement islets from renewable sources for diabetes.
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David Kingsley
Rudy J. and Daphne Donohue Munzer Professor in the School of Medicine
Current Research and Scholarly InterestsWe use mice, stickleback fish, and humans to study the molecular basis of evolution and common diseases. By combining genetics and genomics, we have identified key DNA changes that control bone formation, limb patterning, hair color, brain evolution, and susceptibility to arthritis, schizophrenia, and bipolar disorder. We find that the same genetic mechanisms are often used repeatedly in nature, providing new insights into the origin of key traits in many different species, including ourselves.
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Eric I. Knudsen
Edward C. and Amy H. Sewall Professor in the School of Medicine, Emeritus
Current Research and Scholarly InterestsCellular mechanisms of spatial attention and learning, studied in the central nervous system in birds, using behavioral, systems, cellular and molecular techniques.
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Brian Knutson
Professor of Psychology
Current Research and Scholarly InterestsMy lab and I seek to elucidate the neural basis of emotion (affective neuroscience), and explore implications for decision-making (neuroeconomics) and psychopathology (neurophenomics).
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Brian Kobilka
Hélène Irwin Fagan Chair of Cardiology
Current Research and Scholarly InterestsStructure, function and physiology of adrenergic receptors.
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Mykel Kochenderfer
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Computer Science
BioMykel Kochenderfer is Associate Professor of Aeronautics and Astronautics at Stanford University. Prior to joining the faculty, he was at MIT Lincoln Laboratory where he worked on airspace modeling and aircraft collision avoidance, with his early work leading to the establishment of the ACAS X program. He received a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. Prof. Kochenderfer is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and other aerospace applications where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations. He is an author of "Decision Making under Uncertainty: Theory and Application" (2015), "Algorithms for Optimization" (2019), and "Algorithms for Decision Making" (2022), all from MIT Press. He is a third generation pilot.
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Eric Kool
George A. and Hilda M. Daubert Professor of Chemistry
Current Research and Scholarly Interests• Design of cell-permeable reagents for profiling, modifying, and controlling RNAs
• Developing fluorescent probes of DNA repair pathways, with applications in cancer, aging, and neurodegenerative disease
• Discovery and development of small-molecule modulators of DNA repair enzymes, with focus on cancer and inflammation
