Stanford University
Showing 1,021-1,030 of 2,213 Results
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Rayhan A. Lal, MD
Assistant Professor of Medicine (Endocrinology) and of Pediatrics (Endocrinology)
BioI grew up in the east bay area and have had type 1 diabetes for 30+ years. I studied electrical engineering and computer science at U.C. Berkeley (Go Bears!) with the hope of applying my knowledge to diabetes technology. The significance of clinical practice became clear to me after my siblings also developed diabetes. I am devoting my life to advancing the care of diabetes in people of all ages.
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Vinh Lam
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Vinh Lam is a Clinical Assistant Professor in the Department of Medicine, Division of Primary Care and Population health. He earned his MD from the David Geffen School of Medicine at UCLA and chose to stay in Los Angeles to complete his family medicine residency training at UCLA. During his training, Dr. Lam developed a strong interest in teaching and medical education through his involvement with resident education and the graduate medical education committee. He also spent 1 year as a resident informaticist where he also became very interested in informatics, medical technology, and innovative solutions to improving patient health outcomes and decreasing physician burnout. Dr. Lam enjoys caring for patients of all ages from pediatrics to geriatrics, performing office-based procedures, and prioritizing preventative care.
Outside of medicine, Dr. Lam loves to travel with his family, dabbles in photography and videography, and enjoys attempting to recreate meals he has had while traveling with his wife. -
Max Lamparth
Postdoctoral Scholar, Infectious Diseases
BioMax is a postdoctoral fellow at the Center for International Security and Cooperation, the Stanford Center for AI Safety, and the Stanford Existential Risks Initiative at Stanford University. I am advised by Prof. Clark Barrett, Prof. Steve Luby, and Prof. Paul Edwards.
With his research, he wants to make AI systems more secure and safe to use. Specifically, he is focussing on how to improve the robustness and alignment of language models, how to make their inner workings more interpretable, and how to reduce the potential for misuses.
He received his Ph.D. in August 2023 from the Physics Department at the Technical University of Munich and previously a B.Sc. and M.Sc. from the Ruprecht Karl University of Heidelberg. -
Curtis Langlotz
Professor of Radiology (Thoracic Imaging), of Medicine (Biomedical Informatics Research), of Biomedical Data Science and Senior Fellow at the Stanford Institute for HAI
Current Research and Scholarly InterestsI am interested in the use of deep neural networks and other machine learning technologies to help radiologists detect disease and eliminate diagnostic errors. My laboratory is developing deep neural networks that detect and classify disease on medical images. We also develop natural language processing methods that use the narrative radiology report to create large annotated image training sets for supervised machine learning experiments.
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Benjamin Laniakea
Clinical Associate Professor, Medicine - Primary Care and Population Health
BioDr. Benji Laniakea serves as the chief of the Stanford LGBTQ+ Adult Clinical Program, which offers comprehensive and tailored healthcare for the LGBTQ+ patient population for patients of all ages, sexualities, and gender identities. They also serve as the theme lead for the Sex, Gender, Sexuality, and Sexual Function curriculum at the Stanford School of Medicine for which they received the Arthur L. Bloomfield Award, and have the honor of advising the American Medical Association on LGBTQ+ Health.
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Tobias Lanz
Assistant Professor of Medicine (Immunology and Rheumatology)
BioTobias Lanz, MD is an Assistant Professor at the Institute for Immunity, Transplantation, and Infection and the Division of Immunology and Rheumatology at Stanford. His research focuses on B cell biology in neuroimmunological diseases and rheumatic diseases with neurological manifestations. He uses high-throughput screening technologies, and methods from structural and cell biology to identify new autoantigens and to understand how certain self-reactive B cells escape tolerance mechanisms. He is particularly interested in molecular mechanisms that explain the association between Epstein Barr Virus (EBV) and autoimmunity.
Tobias went to medical school at the Eberhard Karls University in Tübingen, Germany and at the University College of London. He wrote his MD thesis at Dr. Michael Platten's laboratory at the Hertie Institute for Clinical Brain Research in Tübingen, Germany before joining Dr. Lawrence Steinman’s neuroimmunological laboratory at Stanford as a research scholar. After medical school he pursued his scientific and clinical training at the German Cancer Research Center (DKFZ) and the Department of Neurology at the University Hospital in Heidelberg, Germany. In 2015 he joined Dr. William Robinson’s lab at Stanford, where he investigated environmental triggers of autoimmunity, including viruses and milk consumption. In his most recent work, he characterized the B cell repertoire in the spinal fluid of patients with multiple sclerosis (MS) and identified molecular mimicry between EBV EBNA1 and the glial cellular adhesion molecule GlialCAM as a driver of neuroinflammation (Lanz et al., Nature, 2022). His long term objective is to leverage these newly discovered mechanistic insights to develop next-generation biomarkers and therapeutics for autoimmune diseases.
