Browse Stanford University | Stanford Profiles

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

Mark Mandell

Software Dvlpr 2, Biomedical Data Science

Liam Edward Mulhall

Software Developer, Biomedical Data Science

Current Role at StanfordLiam develops and maintains the HLA Curation Interface, a tool that supports the assessment of HLA alleles and haplotypes for use in precision medicine and research. He also works on internal tools used by the Stanford ClinGen team.