Stanford University
Showing 701-750 of 1,332 Results
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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. -
Sonia Tikoo-Schantz
Assistant Professor of Geophysics and, by courtesy, of Earth and Planetary Sciences
BioI utilize paleomagnetism and fundamental rock magnetism as tools to investigate problems in the planetary sciences. By studying the remanent magnetism recorded within rocks from differentiated planetary bodies, I can learn about core processes that facilitate the generation of dynamo magnetic fields within the Earth, Moon, and planetesimals. Determining the longevities and paleointensities of dynamo fields that initially magnetized rocks also provides insight into the long-term thermal evolution (i.e., effects of secular cooling) of planetary bodies. I also use paleomagnetism to understand impact cratering events, which are the most ubiquitous modifiers of planetary surfaces across the solar system. Impact events produce heat, shock, and sometimes hydrothermal systems that are all capable of resetting magnetization within impactites and target rocks via thermal, shock, and chemical processes. Therefore, I am able to use a combination of paleomagnetic and rock magnetic characterization to investigate shock pressures, temperatures, structural changes, and post-impact chemical alteration experienced by cratered planetary surfaces.
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Sebastien Tilmans
Student, Civil and Environmental Engineering
BioSebastien is the Executive Director at the Codiga Resource Recovery Center at Stanford University, a test-bed facility dedicated to accelerating the scale-up of innovative resource recovery systems. Prior to joining Stanford, he worked in the Process Engineering group at Oceanside Wastewater Treatment Plant for the San Francisco Public Utilities Commission. He has also designed and implemented several decentralized anaerobic wastewater treatment systems in Panama, and a waterless sanitation service in Haiti. He holds a PhD in Environmental Engineering from Stanford University, and a B.E. in Civil Engineering from Cooper Union. He was a Fulbright scholar, an NDSEG fellow, and an EPA STAR fellow.
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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 -
Kanani Elaine Titchen
Clinical Associate Professor, Pediatrics - Adolescent Medicine
Clinical Associate Professor (By courtesy), Obstetrics & GynecologyCurrent Research and Scholarly Interestsyouth labor and sex trafficking, system-involved youth, healthy relationships, simulation-based medical training, trauma-informed care, IUD pain management
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AMIT TIWARI
Lecturer, Physics
Current Research and Scholarly InterestsAmit is interested in questions surrounding the primordial universe and the search for new physics beyond the Standard Model, and has published papers on topics including supersymmetry, grand unified theories, dark matter, topological defects, and gravitational waves. He also thinks deeply about how to improve physics education, developing better teaching methods, designing new undergraduate-level physics problems, and exploring how AI tools can help both students and instructors.
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Thodsawit Tiyarattanachai
Affiliate, Department Professorship Funds
Resident in RadiologyCurrent Research and Scholarly Interestsartificial intelligence
medical imaging
ultrasound
screening and surveillance of liver cancer
cancer prediction models
cancer biomarkers
