Vice Provost and Dean of Research
Showing 131-140 of 188 Results
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Marc Lipsitch
Michael and Barbara Berberian Professor, Professor of Biology and Senior Fellow at the Freeman Spogli Institute for International Studies
BioMarc Lipsitch and his research group study the impact of medical and public health interventions and human immunity on pathogen populations and the consequences of these changes for human health. Within this broad umbrella we consider both ecological effects (modulating the amount of transmission and infection) and evolutionary ones (shaping the genetic composition of the populations of infectious agents). Specific areas of interest include natural selection imposed by strain-specific vaccines and antibiotics, design and evaluation of measures to control outbreaks and pandemics, methods for evaluating vaccine efficacy, and surveillance design. Tools include mathematical and computational modeling, pathogen population genomics, causal inference methods, and (in the past) experimental microbiology and immunology. In addition to this scientific research, we work in the areas of research ethics and biosecurity (through an appointment at the Center for International Security and Cooperation). He joined Stanford in 2026. From 1999-2025 he was a faculty member at Harvard TH Chan Schooll of Public Health, where he was Professor of Epidemiology (20062025) and founding Director of the Center for Communicable Disease Dynamics (2009-2025). He was founding Director for Science and then Senior Advisor at the CDC's Center for Forecasting and Outbreak Analytics (2021-5).
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Fang Liu
Assistant Professor of Chemistry
Current Research and Scholarly InterestsThe group will develop scalable and controllable processes to produce low dimensional materials and their artificial structures, and unravel their novel static and dynamical properties of broad interest to future photonic, electronic and energy technologies. The topics will include: a) Unraveling time-resolved dynamics in light-induced electronic response of two dimensional (2D) materials artificial structures. b) Fabrication of 1D atomically thin nanoribbon arrays and characterization of the electronic and magnetic properties for the prominent edge states. c) Lightwave manipulation with 2D superlattices. These research projects will provide participating students with broad interdisciplinary training across physics, chemistry, and materials science.
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Grace I. Liu
Sr. Industrial Contracts Officer, Office of Technology Licensing (OTL)
Current Role at StanfordSr. Industrial Contracts Officer
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Jonathan T.C. Liu, PhD
Professor of Pathology and Professor, by courtesy, of Bioengineering
Current Research and Scholarly InterestsBiomedical optics
In vivo microscopy
Slide-free pathology
Three-dimensional microscopy
3D pathology
Optical biopsy
Image-guided surgery
Early detection
Artificial intelligence
Machine learning
Deep learning
Computational analysis
Computational pathology
Virtual staining
Molecular imaging -
C. Karen Liu
Professor of Computer Science
BioC. Karen Liu is a professor in the Computer Science Department at Stanford University. Prior to joining Stanford, Liu was a faculty member at the School of Interactive Computing at Georgia Tech. She received her Ph.D. degree in Computer Science from the University of Washington. Liu's research interests are in computer graphics and robotics, including physics-based animation, character animation, optimal control, reinforcement learning, and computational biomechanics. She developed computational approaches to modeling realistic and natural human movements, learning complex control policies for humanoids and assistive robots, and advancing fundamental numerical simulation and optimal control algorithms. The algorithms and software developed in her lab have fostered interdisciplinary collaboration with researchers in robotics, computer graphics, mechanical engineering, biomechanics, neuroscience, and biology. Liu received a National Science Foundation CAREER Award, an Alfred P. Sloan Fellowship, and was named Young Innovators Under 35 by Technology Review. In 2012, Liu received the ACM SIGGRAPH Significant New Researcher Award for her contribution in the field of computer graphics.
