Vice Provost and Dean of Research


Showing 81-90 of 124 Results

  • Bruce Ling

    Bruce Ling


    Senior Research Scientist, Pediatrics - Neonatology

    Current Research and Scholarly InterestsMy research focuses on developing AI-enabled translational medicine platforms that integrate real-world electronic health records, wearable biosensor signals, LC-MS/MS-based proteomics and metabolomics, cfDNA molecular profiling, and multimodal medical imaging. The overarching goal is to transform longitudinal clinical, physiological, and molecular data into predictive tools for early disease detection, dynamic risk stratification, digital twin modeling, and precision intervention.

  • Joseph (Joe) Lipsick

    Joseph (Joe) Lipsick

    Professor of Pathology and of Genetics

    Current Research and Scholarly InterestsFunction and evolution of the Myb oncogene family; function and evolution of E2F transcriptional regulators and RB tumor suppressors; epigenetic regulation of chromatin and chromosomes; cancer genetics.

  • Marc Lipsitch

    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).

  • Fang Liu

    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.

  • Jonathan T.C. Liu, PhD

    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

    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.

  • Wendy Liu, MD, PhD

    Wendy Liu, MD, PhD

    Assistant Professor of Ophthalmology

    Current Research and Scholarly InterestsDr. Liu's research interests include the role of mechanosensation in the eye as it relates to the pathophysiology of glaucoma, with the goal of finding new druggable targets in glaucoma treatment.

  • Nathan Lo

    Nathan Lo

    Assistant Professor of Medicine (Infectious Diseases) and, by courtesy, of Epidemiology and Population Health

    Current Research and Scholarly InterestsOur research group is interested in studying the transmission of infectious diseases and impact of public health interventions with an ultimate goal of informing public health policy. We study a diverse set of pathogens, both domestically and internationally, including vaccine-preventable infections (including COVID-19) and neglected parasitic diseases (such as schistosomiasis). Our group applies diverse computational methodologies, including tools from fields of epidemiology, mathematical and statistical modeling, simulation, and policy analysis.

    A large emphasis of our work is translating scientific evidence into public health policy. Our track record includes multiple studies that have changed policy in the fields of neglected parasitic diseases and COVID-19. We work closely with policy organizations like the World Health Organization and the California Department of Public Health. Nathan was the lead writer of the World Health Organization guidelines on schistosomiasis (2022) and strongyloidiasis (2024).

    Our current research focuses on the following areas:
    (1) Vaccine-preventable infectious diseases (including measles and COVID-19) in the United States, with a focus on studying vaccines, transmission dynamics, and re-emergence of vaccine-eliminated diseases (emphasis on measles)
    (2) Public health strategies for control and elimination of globally important neglected infectious diseases, such as helminths infections (schistosomiasis, strongyloidiasis) and typhoid fever

    Our current NIH funded projects include:
    (1) Real-time predictive modeling for public health departments to control infectious diseases (DP2 AI170485, PI: Lo)
    (2) Precision mapping of Schistosoma mansoni risk for targeted public health control and elimination (R01 AI179771, PI: Lo)

    Hiring
    We are seeking to fill multiple research positions at all levels. Candidates interested in working on computational public health research related to infectious diseases with a strong quantitative background are highly encouraged to apply. If you an interested, please submit a cover letter, CV, and names of two references to Nathan.Lo@stanford.edu.