School of Medicine
Showing 11,351-11,400 of 13,033 Results
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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. -
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
On Leave from 09/22/2025 To 06/10/2026Current 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
BioAssoc Prof Daniel Ting is a senior consultant vitreo-retinal surgeon working in the Singapore National Eye Center (SNEC), an Associate Professor with Duke-NUS Medical School and an Adjunct Clinical Associate Professor and an Innovation Mentor at Stanford University. He is also the Director of Singapore Health Service (SingHealth) AI Office, SNEC Chief Data and Digital Officer, and the Head of AI and Digital Innovation in Singapore Eye Research Institute (SERI). In 2017, Dr Ting was US-ASEAN Fulbright Scholar visiting the Johns Hopkins University Fulbright Scholar to share his expertise in AI and big data in medicine. In addition to that, his research focus span across not only on the technical aspect on machine learning, deep learning, large language models, explainable AI, privacy preserving technologies, but also safe, responsible and ethical clinical AI applications. He is also involved in several international consensus reporting guidelines such as STARD-AI, QUADAS-AI and DECIDE-AI.
To date, Daniel has published >250 publications on peer reviewed, book chapters, educational articles and conference abstracts. Of those, 45 were published in high impact journals (IF >10) such as JAMA, NEJM, Lancet, Nature Medicine, Nature Biomedical Engineering, Lancet Digital Health, Progress in Retinal and Eye Research, Diabetes Care, Nature Digital Medicine, Ophthalmology and etc. As of Aug 2024 (Google Scholar), his current H index: 61, i-10 index: 172 with total citations of >20,000. Dr Ting has received a total of 100M research grants, in which 20 M as a principal investigator, and 80M as co-investigators on AI and digital innovation related projects in health.
Dr Ting serves in several leadership positions at the different AI and eye societies, including the American Academy of Ophthalmology AI and Retina Ophthalmology Technology Assessment committees, and he also chairs the AI and Digital Innovation Standing Committee for the Asia-Pacific Academy of Ophthalmology and Asia-Pacific Vitreo-Retinal Society. He also serves in numerous advisory and editorial boards in the top-tiered digital and medical journals, including Lancet Digital Health, Frontiers in Medicine, Frontiers in Digital Health and Asia-Pacific Journal of Ophthalmology; Section Editor in British Journal of Ophthalmology and Editorial Board Member in Ophthalmology, Ophthalmology Retina, Ophthalmology Science, British Journal of Ophthalmology, Asia-Pacific Journal of Ophthalmology and Retina.
For the accomplishment, Dr Ting was recognized by many top-tiered international AI and ophthalmology societies in winning many prestigious scientific awards, including Tatler Asia Gen T Award (2021), Singapore National Clinician Scientist Award (2021), Asia-Pacific Academy Ophthalmology (APAO) Nakajima Award (2021), Asia-Pacific Vitreo-Retinal Society (APVRS) Ian Constable Award (2021), MICCAI OMIA Prestigious Achievement Award (2020), ARVO Bert Glaser Award for Innovative Research in Retina (2020), USA Macula Society Evangelos Gragoudas Award (2019), APAO Young Ophthalmologist’s Award (2018) and APTOS Young Innovator Award (2017).
In 2022, 2023 and 2024, he is included in the World’s Top 100 Ophthalmology Power list by the Ophthalmologists; and the World’s Top 2% Scientists by the Stanford University world ranking. In 2021, 2022 and 2023, he was consistently ranked top 3 in the deep learning domain over the past decades (2010 – 2023) by the ExpertScape. In 2024, he won the Singapore National Academy of Medicine Young Scientist Award, and also ranked the Top 100 AI Thought Leaders Worldwide with Fei Fei Li, Yan LeCun, Jensen Huang and many others by H20.ai. -
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 -
Sara L. (Sally) Tobin
Sr Research Scholar, Pediatrics - Center for Biomedical Ethics
Current Research and Scholarly InterestsTobin is a Senior Research Scholar at the Stanford Center for Biomedical Ethics. She obtained her Ph.D. in Developmental Biology from the University of Washington and did postdoctoral research in Genetics at the University of California, Berkeley and in Biochemistry at the University of California, San Francisco. She became a faculty member at the University of Oklahoma College of Medicine in 1983 and moved to Stanford University in 1996. Her research contributions have been published in prestigious journals such as Cell, Nature, Genes & Development, Neuron, and Journal of Cell Biology.
Projects
With her collaborator, graphic designer Ann Boughton, Tobin has completed the production of three educational multimedia CD-ROM discs about the genetic revolution in medical care sparked by the rapid advances in our knowledge about the human genome. An on-line version derived and updated from these CDs is pending release through Twisted Ladder Media, and is entitled: "The New Genetics: Medicine and the Human Genome. Molecular Concepts, Applications, and Ramifications." In addition, Tobin and Boughton have collaborated on educational websites on inherited risk of breast cancer and on hereditary colorectal cancer with the Stanford Cancer Genetics Clinic.
Tobin's current major research interests include an educational project funded by the National Science Foundation to create and evaluate innovative modules for undergraduates entitled, "The New Genetics: Electronic Tools for Educational Innovation." The modules are presented in on-line form as an electronic course and are accompanied by workbook exercises and problem sets. The content includes principles of genetics, molecular genetic technologies, applications in medicine, environmental biology, agriculture, and society, as well as implications. In addition, she is collaborating on two projects that are exploring the ramifications of using genetic information about addiction risk in the judicial system.
Tobin is a member of the Benchside Consultation Team for the Center for the Integration of Research on Genetics and Ethics, and she evaluates clinical protocols for ethical issues for the Clinical Translational Research Program. -
Alexander Tolas
Clinical Research Coordinator, Medicine - Med/Cardiovascular Medicine
BioMy research focuses on the scalable measurement and validation of cardiorespiratory fitness and physical activity using wearable and mobile technologies. I am particularly interested in integrating physiological assessment, digital phenotyping, and epidemiologic modeling to improve cardiovascular risk stratification across diverse populations. My work spans device validation, predictive modeling, and translation of exercise physiology metrics into clinically meaningful digital health applications.
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Andreas Tolias
Professor of Ophthalmology
BioAndreas Tolias is a faculty member at Stanford University, where he co-leads the Enigma Project. His research lies at the interface of neuroscience and AI, combining large-scale neuroscience experiments with machine learning to uncover the principles of natural intelligence. By focusing on perceptual inference and decision-making, his lab integrates systems and computational neuroscience with AI to decipher the network-level principles of intelligence. Dr. Tolias’s work aims to reverse-engineer these principles to create AI systems that are smarter, more robust, trustworthy, and efficient, while providing a powerful platform to test brain algorithms under complex natural tasks. He earned his B.A. and M.A. in Natural Sciences from the University of Cambridge, a Ph.D. in Systems and Computational Neuroscience from MIT, and completed postdoctoral training in Neuroscience and Machine Learning at the Max Planck Institute for Biological Cybernetics in Tübingen.
