School of Medicine
Showing 251-300 of 538 Results
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Larry W. Thompson, Ph.D.
Professor (Research) of Medicine (Endocrinology, Gerontology, and Metabolism), Emeritus
Current Research and Scholarly InterestsDr. Thompsons interests include psychosocial treatments for individuals with bipolar disorder and /or other serious mental illnesses; cognitive/behavioral therapy for late-life depression; intervention research with culturally diverse individuals with depression; and psychophysiological research on stress & coping.
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Blake Thomson
MD Student with Scholarly Concentration in Health Services & Policy Research, expected graduation Spring 2027
BioBlake Thomson is a population health researcher and medical student at Stanford. An epidemiologist by training, he holds an MPhil in Epidemiology from the University of Cambridge and a DPhil (PhD) in Population Health from the University of Oxford. Before medical school, he served as Principal Scientist in Cancer Disparities Research at the American Cancer Society.
Blake has authored or co-authored more than 30 articles in medical and public health journals, including The Lancet and JAMA. His first-author publications have appeared in such journals as The Lancet Global Health, JAMA Internal Medicine, JAMA Oncology, JAMA Neurology, Chest, and Circulation, among others. This work has received media attention from such outlets as The New York Times, The Washington Post, The Wall Street Journal, National Geographic, and Nature.
His clinical and academic interests center on the prevention of chronic disease, with a particular focus on the behavioral, social, and biological factors that shape mental and physical health across the life course. He plans to pursue a career as an academic psychiatrist integrating patient care with population health research that informs clinical practice and health policy. -
Alan Eih Chih Thong
Clinical Associate Professor, Urology
BioDr. Thong is a surgeon specializing in urologic oncology. He has expertise in all aspects of prostate, kidney, bladder, and testicular cancer care, including endoscopic, robotic, and open surgery, and has a special interest in complex cases including: salvage surgery following radiation or chemotherapy, resection of locally advanced tumors, minimal access robotic surgery, and MRI-US fusion targeted biopsies. Dr. Thong is the first surgeon in northern California to utilize single port robotic assisted laparoscopic technology for both pelvic and retroperitoneal surgeries. He has won numerous awards including the NIH Ruth L. Kirschstein National Research Service Award, and has authored and co-authored publications on the treatment of urologic cancers.
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Caroline Thorn
Scientific Data Curator 2, Biomedical Data Science
Current Role at StanfordScientific curator at ClinPGx
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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
Clinical Associate Professor, Adult Neurology
Clinical Associate Professor (By courtesy), NeurosurgeryBioDr. 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. He has a clinical and research interest in traumatic brain injury and disorders of consciousness. In addition, he maintains a strong interest in improvement science, quality improvement, and patient safety.
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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
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
Affiliate, Orthopaedic Surgery
Visiting Postdoctoral Scholar, Orthopaedic SurgeryBioI 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.
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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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Seda Tierney
Professor of Pediatrics (Cardiology)
Current Research and Scholarly InterestsAssessment of vascular health in children by non-invasive modalities
Exercise interventions in children with congenital and acquired heart disease
Use of telehealth to deliver interventions to children with congenital and acquired heart disease
Parentally-acquired echocardiograms
Quality Improvement in Pediatric Echocardiography
Echocardiography and outcomes in congenital heart disease -
Martin Tik
Affiliate, Psychiatry and Behavioral Sciences
BioDr. Tik is a Visiting Scholar at the Stanford Brain Stimulation Lab and Group Leader at the Medical University of Vienna. His research bridges neuroimaging and brain stimulation to uncover mechanisms of therapeutic neuromodulation.
With a background in Biological Psychology and Medical Physics, Dr. Tik has developed innovative methods for integrating Transcranial Magnetic Stimulation with functional Magnetic Resonance Imaging (TMS-fMRI), enabling real-time measurement of stimulation-induced brain activity. His lab (http://tmsfmri.com) advances these tools toward individualized, state-dependent stimulation paradigms and closed-loop applications.
Building on his long-standing collaboration with the Stanford Brain Stimulation Lab, Dr. Tik works closely with Dr. Nolan Williams and colleagues to translate these neurotechnological innovations into clinical research. This ongoing Vienna–Stanford partnership aims to optimize stimulation parameters and dosing strategies for personalized TMS therapy and a better general understanding of brain circuitry in health and disease. -
Hemali Vijay Panchal
Clinical Assistant Professor, Medicine
Current Research and Scholarly InterestsQuality Improvement, Patient Safety, Medical Education
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Molly Timmerman
Clinical Assistant Professor (Affiliated), Orthopaedic Surgery
BioDr. Molly Timmerman is board-certified in Physical Medicine and Rehabilitation. She is Affiliated Clinical Assistant Professor of Physical Medicine and Rehabilitation/Orthopedic Surgery. She practices at Veterans Health Administration in Palo Alto, where she is Medical Director of Regional Amputation Center and the Polytrauma Network Site. She specializes in traumatic brain injury, post-traumatic headache management, and amputation medicine.
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Alice Ting
Professor of Genetics, of Biology and, by courtesy, of Chemistry
Current 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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Daniel SW Ting
Adjunct Clinical Associate Professor, Ophthalmology
BioDaniel Ting, MD, PhD, Stanford Adjunct Associate Professor and Duke-NUS Jong Soy Leong Professor, is one of the world's leading clinician-AI scientists, vitreoretinal surgeons, technology innovators and entrepreneurs, with expertise spanning retinal medicine and surgery, AI and healthcare technology. His work sits at the intersection of medicine, AI, innovation and technology translation. A former US-ASEAN Fulbright Scholar at the Johns Hopkins University Applied Physics Laboratory and School of Medicine, his research spans machine learning, deep learning, large language models, multimodal foundation models, explainable AI and privacy-preserving technologies, alongside safe, responsible and ethical clinical AI. He has contributed to international consensus and reporting initiatives including STARD-AI, QUADAS-AI and DECIDE-AI.
Professor Ting works across the full translational spectrum of AI in healthcare, from algorithm development and multimodal foundation models to generative and agentic AI, clinical implementation, regulatory science, health economics and commercialization. He is Founding Co-Director of the SingHealth Duke-NUS Artificial Intelligence in Medicine Institute (AIMI), Director of the SingHealth AI Office, Chief Data & Digital Officer of the Singapore National Eye Centre, and Head of AI & Digital Innovation at the Singapore Eye Research Institute. He serves on Singapore's Ministry of Health AI Steering Committee and is a core leader of SIMFONI, Singapore's national programme for sovereign multimodal foundation models in healthcare.
His research has advanced the development, validation and real-world deployment of medical AI, including national-scale AI-enabled diabetic retinopathy screening, health-economic evaluation, privacy-preserving AI, medical imaging foundation models and responsible generative AI. More recently, his work has expanded into sovereign agentic AI and enterprise AI orchestration, combining frontier models, specialised agents, institutional knowledge, verification and structured human oversight for regulated environments.
Professor Ting has authored more than 400 peer-reviewed publications, attracting more than 45,000 citations with an H-index above 86, including influential work in JAMA, The Lancet, Nature Medicine, Nature Biomedical Engineering, The Lancet Digital Health and NEJM AI. He was recognised in the World's Top 100 AI Power List (2024) alongside AI leaders including Jensen Huang, Fei-Fei Li and Yann LeCun. He has been named among Stanford University's World's Top 2% Scientists (2022–2026), the Top 100 Power List in Ophthalmology, and the World's Top 10 Ophthalmic Innovators (2025). Major honours include Singapore's Young Scientist Award, National Clinician Scientist Award, APAO Nakajima Award, APVRS Ian Constable Award, ARVO Bert Glaser Award and Macula Society Evangelos Gragoudas Award.
Professor Ting serves on the International Advisory Board of The Lancet Digital Health, is Section Editor for AI at the British Journal of Ophthalmology, and holds editorial leadership roles with Ophthalmology, Ophthalmology Retina and Ophthalmology Science. He also holds international leadership positions across the American Academy of Ophthalmology and major Asia-Pacific ophthalmology and vitreoretinal societies.
Beyond academia, Professor Ting is a serial inventor, start-up founder and technology entrepreneur, co-founding ventures spanning medical AI, ophthalmology, healthy longevity and sovereign agentic AI. His work bridges Stanford and Silicon Valley's frontier AI and innovation ecosystem with Singapore's integrated healthcare and national AI infrastructure, translating frontier AI into trusted and scalable technologies. His mission is to build the next generation of trusted, sovereign and clinically intelligent AI systems, moving healthcare AI from algorithms to infrastructure, from prediction to reasoning, and from scientific discovery to global-scale impact. -
Jamie L. Tingey, PhD
Clinical Assistant Professor, Psychiatry and Behavioral Sciences - Sleep Medicine
Current Research and Scholarly InterestsDr. Tingey’s research broadly focuses on factors that promote positive outcomes in patients with complex and/or chronic conditions. She is committed to research that focuses on outcomes that are valued by patients and healthcare stakeholders.
Some of her research interests include self-management interventions in chronic conditions (e.g., multiple sclerosis, stroke, spinal cord injury, traumatic brain injury) and adapting evidence-based treatments to provide equitable care to individuals with chronic conditions and disabilities. She is also passionate about integrating psychology services into critical care settings to improve health outcomes among ICU survivors. -
Julie Tinklenberg
Clinical Associate Professor, Psychiatry and Behavioral Sciences - Vaden Health Center
BioDr. Julie Tinklenberg specializes in the treatment of mental illness in the university setting. She has worked in college mental health for over 15 years. Dr.Tinklenberg has a special interest in anxiety disorders, parenting issues, mood disorders and interpersonal/relationship problems.
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Jyothi Tirumalasetty, MD, FAAAAI
Clinical Associate Professor, Medicine - Pulmonary, Allergy & Critical Care Medicine
Current Research and Scholarly InterestsReducing healthcare-related carbon emissions with a focus on inhalers.
Health disparities in food allergy.
Climate change and asthma. -
Rebecca Lauren Tisdale
Assistant Professor of Medicine (PCPH)
BioBecca Tisdale, MD, MPA is an internist, obesity medicine specialist, and health services researcher with interests in cardiovascular disease, global health, and health systems. As a VA Health Services Research & Development fellow (2020-2023) and Investigator in the VA Center for Innovation to Implementation (Ci2i) and Stanford Cardiovascular Outcomes, Policy, & Implementation Research Group (COPIR), her work has focused on value, access, and equity in cardiovascular disease care and the role of virtual care in achieving these goals. She additionally serves as Medical Director of the Evaluation Sciences Unit (ESU) with the Division of Primary Care and Population Health.
Previously, she received a BA with distinction in Human Biology from Stanford in 2009, followed by a master of public administration (MPA) joint degree from Sciences Po, Paris and the London School of Economics. She then matriculated at Columbia University College of Physicians and Surgeons for medical school, where she was active in global health activities, researching multidisciplinary teams in HIV care in Ethiopia and serving on the board of the student international health organization. As a global health track resident at Stanford, Becca spent time working in Rwanda through the Johnson and Johnson program and participated in the inaugural Women Leaders in Global Health conferences at Stanford and in London. In 2019-2020, she comprised one third of Stanford’s first all-woman internal medicine chief resident cohort. Outside of work, she enjoys all things French as well as running, both in races and after her young children. -
Christina (Christy) Tise, MD, PhD
Assistant Professor of Pediatrics (Genetics) and, by courtesy, of Obstetrics & Gynecology (Reproductive Endocrinology and Infertility)
BioDr. Christina (Christy) Tise is a physician scientist and Assistant Professor in the Division of Medical Genetics at Stanford with subspecialty training in Clinical Biochemical Genetics. Dr. Tise has developed multiple research projects focused on the clinical impact of biochemical genetic conditions in pregnancy and newborn health, including a project focused on unforeseen diagnoses in individuals initially identified through state newborn screening which has resulted in a number of publications.
Dr. Tise also researches the genetic etiologies of recurrent pregnancy loss and the impact of inherited metabolic conditions on human reproduction. She is involved in several research initiatives including contributing to the development of TRIOS, a multi-site, NIH-funded research study to evaluate the genetic causes of recurrent pregnancy loss. In serving as the primary research mentor for a recent Masters of Genetic Counseling graduate, Dr. Tise’s research on carrier and newborn screening has highlighted areas of ancestry-related healthcare inequities specific to the field of Medical Genetics.
Dr. Tise’s primary academic and advocacy interests are embodied in this work, specifically the overlap between biochemical and molecular analysis, and the clinical utility of innovative technologies for diagnosis and treatment of genetic disease. This is an unbelievably thrilling time for the field of Medical Genetics, as it promises immense progress and opportunity for all fields of medicine, and Dr. Tise is determined, honored, and incredibly excited to be a part of it!
Research interests: newborn screening, carrier screening, prenatal screening, genetics of recurrent pregnancy loss, biochemical genetics, novel gene discovery, variant interpretation, founder populations, diagnostic genetic testing, bioethics, GWAS/ExWAS -
Thodsawit Tiyarattanachai
Affiliate, Department Funds
Resident in RadiologyCurrent Research and Scholarly Interestsartificial intelligence
medical imaging
ultrasound
screening and surveillance of liver cancer
cancer prediction models
cancer biomarkers
