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. Current and emerging areas of work include: Life-course and translational aging research, including integration of aging science across the Stanford Clinical and Translational Science Award (CTSA) program
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research at the intersection of AI reasoning, biomedical informatics, and clinical medicine. Our work focuses on understanding how AI systems reason over complex longitudinal patient information, how
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Health Epidemiology and Population Health Health Policy Med: PCOR Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Science Medicine, Center for Digital Health Postdoc
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program. The lab investigates fundamental mechanisms of immune recognition and regulation in clinically relevant contexts, with a particular focus on transplantation immunology and viral immunity. Our work
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can be used to target them. The Sheltzer Lab leverages approaches from functional genomics, chemical biology, AI, and pharmacogenomics to uncover how cancer cells respond to small-molecule therapies
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, chemical biology, AI, and pharmacogenomics to uncover how cancer cells respond to small-molecule therapies. Potential research directions include identifying biomarkers of sensitivity and resistance to anti
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computational biology and bioinformatics and have made discoveries that are opening the door to possible new treatment approaches to diseases without therapies as well as ways to improve medical care using
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degree in biomedical data science, computational biology, genetics, bioinformatics, machine learning, computer science, statistics, engineering, medicine, or a related field. Strong candidates may have
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science, substance use disorders (SUD), data science, or their intersection. Join the next generation of pain and SUD researchers at Stanford’s Pain Division and translate research discoveries into safe
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is $79, 056. Rapid Online Assessment of Reading Postdoc in Operational Psychometrics and Educational Data Science Advisors: Jason D. Yeatman, Ph.D. and Carrie Townley-Flores, Ph.D. The Rapid Online