School of Medicine
Showing 11-20 of 165 Results
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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. -
Jamison Langguth
Clinical Research Manager, IMA, Med/Stanford Center for Clinical Research
Bio2020 Fellowship, Life Science Entrepreneurship (Blavatnik), Yale University
2018 MPH, Health Management, Harvard University
2015 MSED, Education Policy, University of Pennsylvania
2010 BS, Psychology, Drexel University -
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. Benjamin Laniakea is a board-certified family medicine physician specializing in full-spectrum LGBTQ+ health. They are the recipient of the Arthur L. Bloomfield Award and have served as the Theme Lead for the Sex, Gender, and Sexual Function curriculum at the Stanford School of Medicine since 2018. They serve 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.
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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.