Stanford University


Showing 11,361-11,380 of 13,041 Results

  • Caroline Thorn

    Caroline Thorn

    Scientific Data Curator 2, Biomedical Data Science

    Current Role at StanfordScientific curator at ClinPGx

  • Stefan Thottunkal

    Stefan Thottunkal

    Temporary Employee, Medicine - Primary Care and Population Health

    BioStefan Thottunkal is a physician in training, Stanford researcher, and policymaker whose work sits at the intersection of artificial intelligence, precision medicine, translational science, and public health innovation. He completed the M.S. in Community Health and Prevention Research at Stanford University as an IIE Quad Fellow, one of the world’s most selective international research fellowships, where his thesis centered on computational pharmacogenomics and the use of data-driven LLM methods to advance precision prescribing.

    His research focuses on translating innovation into clinically meaningful and implementation-ready health solutions, with particular interests in pharmacogenomics, chronic disease, and AI-enabled decision support. He is especially interested in how machine learning and large language models can be used not simply as technical advances, but as robust clinical tools that improve prescribing, strengthen care delivery, and incorporate human centered design principles to effectively integrate precision medicine in routine clinical practice.

    At Stanford, he contributes to the Han Lab’s research on advancing precision oncology in advanced non-small cell lung cancer, while helping lead NOURISH, a pioneering Stanford Medicine initiative reimagining cardiometabolic care through culturally tailored nutrition science, behavioral insight, and digital innovation. NOURISH advances a model of lifestyle medicine that preserves cultural relevance while applying rigorous scientific methods to improve metabolic health. By integrating culinary medicine with emerging technologies, the initiative is exploring how AI-enabled tools, personalized digital education, and interactive nutrition support systems can make evidence-based dietary guidance more adaptive, engaging, and scalable across diverse populations. His work in this space reflects a broader interest in how technology can help transform nutrition care from generic advice into a more personalized, culturally tailored, and behaviorally attuned form of preventive medicine.

    In parallel with his research career, Stefan brings close to half a decade of experience advising the Australian Federal Government on major health and social policy initiatives. His international experience also includes mentoring hackathon teams in India and medical device development in Nigeria, where he contributed to dialysis device innovation and clinical trials design in resource-constrained settings. Together, these experiences reflect his broader commitment to advancing equitable, evidence-based, and culturally tailored global health innovation.

  • Zachary D. Threlkeld, MD, FAAN

    Zachary D. Threlkeld, MD, FAAN

    Clinical Associate Professor, Adult Neurology
    Clinical Associate Professor (By courtesy), Neurosurgery

    BioDr. Threlkeld cares for critically ill patients with acute neurologic illness, including traumatic brain injury, stroke, intracerebral hemorrhage, and epilepsy. He completed his residency training in neurology at the University of California, San Francisco, and joined the Stanford Neurocritical Care program after completing fellowship training in neurocritical care at Massachusetts General Hospital and Brigham and Women’s Hospital in Boston.

    Dr. Threlkeld has a clinical and research interest in traumatic brain injury and disorders of consciousness, with a background in neuroimaging and functional MRI research. In addition, he maintains strong interests in improvement science, quality improvement, patient safety, and medical informatics. He serves as Co-Medical Director of the Unit-Based Medical Director Program at Stanford Health Care, as well as the Associate Physician Improvement Leader for Inpatient Neurology. He also serves as the inaugural Patient Safety Director for Inpatient Neurology.

  • Kumar Thurimella

    Kumar Thurimella

    Resident in Medicine

    BioI am an Internal Medicine resident at Stanford in the Translational Investigator Program (TIP), with a planned fellowship in Rheumatology.

    I worked as a software engineer at Uber before completing my PhD at the University of Cambridge as a Gates Scholar and my MD at the University of Colorado. My research sits at the intersection of computational biology and B cell immunology, using protein language models and structural AI to identify novel therapeutic targets in autoantibody-mediated diseases.

    Outside the clinic and lab, I enjoy skiing, hiking, biking, and reading science fiction.

  • Lu Tian

    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.

  • Xinggui Tian

    Xinggui Tian

    Visiting Postdoctoral Scholar, Orthopaedic Surgery

    BioI am a Visiting Postdoctoral Scholar in the Department of Orthopaedic Surgery at Stanford University, supported by the Walter Benjamin Fellowship from the German Research Foundation (DFG). As an orthopaedic surgeon and researcher, I have extensive research experience in musculoskeletal biology, biomaterials, regenerative medicine, and translational orthopaedic research. My research focuses on musculoskeletal regeneration, with particular interests in bone regeneration, spinal fusion, tendon repair and tendon-to-bone healing, musculoskeletal tissue engineering, and biomaterial-based regenerative strategies.

  • Robert Tibshirani

    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.

  • Colin Alexandr Tidwell

    Colin Alexandr Tidwell

    Postdoctoral Scholar, Psychiatry

    BioColin A. Tidwell (he/they) is a Clinical Postdoctoral Fellow in the Department of Psychiatry & Behavioral Sciences at Stanford University School of Medicine. Dr. Tidwell received his Ph.D. in Clinical Psychology from the University of Arizona and completed his predoctoral clinical internship at the Washington, D.C. Veterans Affairs Medical Center.

    Clinically, Dr. Tidwell provides evidence-based and identity-affirming care to adults and adolescents. His clinical practice uses an integrative theoretical orientation centered on meeting his patients where they are. He has extensive training in supporting the identity development of sexually and gender diverse individuals as well as in early psychosis intervention. Dr. Tidwell enjoys working with these populations as well as working with patients navigating serious mental illness, trauma, anxiety, and depression.

    Dr. Tidwell’s research focuses on the intersection of minoritized stress, daily social interactions, and mental health outcomes among LGBTQ+ populations. Dr. Tidwell has also published in the area of training health service psychologists. He his uses observational ambulatory assessment methodologies, including the Electronically Activated Recorder (EAR), to capture real-world social dynamics and behavior. His scholarship has been published in peer-reviewed journals such as the Journal of Personality and Social Psychology and Behavior Research Methods.