Stanford University
Showing 11-20 of 41 Results
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Li Gong
Scientific Data Curator 3, Biomedical Data Science
Current Role at StanfordProgram manager and senior scientific curator for ClinPGx, coordinator for the ClinGen Pharmacogenomics Interpretation Committee (PGxIC).
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Jason Hilton
Senior Research Engineer, Biomedical Data Science
Current Role at StanfordPI & Director, Lattice
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Dr Mohit Kaushal MD
Adjunct Professor, Biomedical Data Science
BioDr. Mohit Kaushal is an accomplished entrepreneur, investor, and physician with a distinguished career spanning clinical medicine, academia, public policy and industry. He has served as an investor and board member for numerous public and private transformative companies, including Oak Street Health (NYSE: OSH, acquired by CVS Health, NYSE: CVS), Humedica (acquired by Optum, NYSE: UNH), RxAnte (acquired by Millennium), Change Healthcare (acquired by Emdeon), Universal American (NYSE: UAM, acquired by WellCare, NYSE: WCG), goBalto (acquired by Oracle, NYSE: ORCL), CitiusTech (acquired by Baring), Wellframe (acquired by HealthEdge), and George Clinical (acquired by Hillhouse).
During the Obama administration, Dr. Kaushal served on the White House Health IT Task Force, contributing to the implementation of the Affordable Care Act’s technology initiatives and testifying before Congress on the role of technology and payment reform in Medicare. He also established and led the first dedicated healthcare team at the Federal Communications Commission, where his work included partnering with the FDA to streamline regulation of converged telecommunications, analytics, and medical devices, ultimately resulting in the FDA’s mobile medical applications guidance. His team also restructured the Rural Healthcare Fund into the Healthcare Connect Fund, aligning its resources with broader healthcare technology and payment reforms.
In academia, Dr. Kaushal is an Adjunct Professor in the Department of Biomedical Data Science at Stanford University, which integrates AI, biomedical informatics, biostatistics and computer science to advance precision health. His teaching emphasizes the application of data—ranging from molecular and tissue-level information to imaging, EHR, biosensors, and population health—to improve medical outcomes.
He remains active in public policy as a Scholar in Residence at the Duke-Margolis Center for Health Policy and was previously a Visiting Scholar at the Brookings Institution. His policy work includes previous appointments to the FDASIA Workgroup of the Health IT Policy Committee and the National Committee on Vital and Health Statistics, advising HHS on data access and use.
Dr. Kaushal is an emergency physician by training, holds an MBA from Stanford University, and earned his MD with distinction from Imperial College London. -
Clarissa Klein
Scientific Data Curator 2, Biomedical Data Science
BioScientific curator and coordinator for the Clinical Genome Resource (ClinGen) and the Pharmacogenomics Knowledgebase (PharmGKB) / ClinPGx. Program Manager for Stanford ClinGen.
Coordinator for ClinGen's Data Access, Protection, and Confidentiality (DAPC) Working Group, the Rheumatologic and Autoimmune Diseases Clinical Domain Working Group (RAD-CDWG), Multigenic Taskforce, HLA Working Group, and the Pharmacogenomics Working Group (PGxWG). Coordinator for PharmGKB's submission for FDA recognition of their clinical annotation database, and curator with a focus on PharmGKB Pediatric. -
Matthew Lungren
Adjunct Professor, Biomedical Data Science
BioDr. Matthew Lungren is a physician-scientist and AI leader whose work has helped shape modern multimodal healthcare AI from early research through large-scale deployment. He joined Stanford University in 2014 as clinical research faculty, where he led a fully dedicated pediatric interventional radiology clinical service and established an NIH- and industry-supported clinical AI research program that helped catalyze what became the Stanford Center for AI in Medicine & Imaging. He remains an Adjunct Professor of Biomedical Data Science at Stanford and also holds a part-time clinical appointment at UCSF.
Dr. Lungren has authored more than 200 peer-reviewed publications with more than 35,000 citations, and he has taught more than 100,000 learners through AI-in-healthcare courses across platforms including Coursera and LinkedIn Learning. His broader contributions include advancing multimodal imaging-plus-EHR approaches, open-sourcing AI-ready medical imaging datasets and models, and serving in national leadership roles across the radiology AI community. After a sabbatical in 2021, he transitioned from academia to industry and joined Microsoft, where he served in senior leadership roles including Chief Scientific Officer for Microsoft Health & Life Sciences. At Microsoft, he founded and led cross-company teams that shipped multimodal healthcare foundation models and agentic, auditable generative AI workflows into production, including healthcare agent orchestration capabilities and major EHR partnerships, and led the health and life sciences partnerships with OpenAI.
Dr. Lungren is also a top rated instructor leading AI in Healthcare courses designed especially for learners with non-technical backgrounds:
Stanford/Coursera: https://www.coursera.org/learn/fundamental-machine-learning-healthcare
LinkedIn Learning: https://www.linkedin.com/learning/an-introduction-to-how-generative-ai-will-transform-healthcare
