Biomedical Data Science
Showing 1-39 of 39 Results
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Corinne Beck
Administrative Program Manager - Plevritis Lab, Biomedical Data Science
Current Role at StanfordProgram Manager
Plevritis Lab
Department of Biomedical Data Science (DBDS)
School of Medicine | Stanford University -
Michelle Whirl-Carrillo
Principal Investigator and Director, ClinPGx, Biomedical Data Science
Current Role at StanfordPrincipal Investigator and Director, PharmGKB/ClinPGx
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Francisco M. De La Vega
Adjunct Professor, Biomedical Data Science
BioFrancisco De La Vega is a distinguished geneticist and computational biologist, and an experienced technical executive, widely recognized for his expertise in clinical and population genomics, and bioinformatics. Currently serving as the Vice President of Hereditary Disease at Tempus Labs, Francisco is spearheading the development of comprehensive germline genetic tests and conducting innovative research into racial disparities in cancer leveraging Tempus’ multimodal Real-World Data. His work focuses on uncovering the connections between genetic ancestry and cancer genome mutational profiles that may help explain the differences in cancer incidence and outcomes across races and ethnicities. In addition to his role at Tempus Labs, Francisco is an Adjunct Professor in the Department of Biomedical Data Science at Stanford University School of Medicine and is a member of the Board of Directors of the International Society of Computational Biology, serving from 2022 to 2025.
Francisco teaches BIODS-235: "Best practices for developing data science software for clinical and healthcare applications" every Winter quarter. -
Idan Gabdank
Senior Biocuration Scientist, Biomedical Data Science
Current Role at StanfordManage data wrangling and curation for innovative cutting-edge single cell and CRISPR screen experiments within the Billion Cell Project funded by CZI, serving as a key member of the Lattice team at Stanford working in close collaboration with CZI and academy labs to ensure standardized data processing and quality control across high-throughput experimental datasets. Integrate AI tools and automate cloud-based pipelines for data validation and curation, streamlining quality assurance processes and reducing manual oversight requirements while maintaining data integrity standards.
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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 -
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.
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Erica Marie Rutherford
Data Wrangler, Biomedical Data Science
BioMy career spanning nine years as a data curator has given me a lot of experience and perspective into the workings of scientific data and metadata, and its organization. During my time before graduate school, I attained experience on a variety of fieldwork projects in ecology (2008-2013). During these temporary seasonal assignments, the importance of precision and care in data collection was impressed in me. When I went to graduate school at San Francisco State University (2013-2016), I gained experience in all parts of a molecular biology experiment, from fieldwork to labwork to data analysis. After graduation, I worked at a microbiome focused startup company, Second Genome, as their data curator (2016-2021). While there, I was responsible for curation of metadata for both internal studies for R&D and for clients, and for external studies being brought in for our internal Knowledgebase. While there, I developed an appreciate for ontologies, and developed a custom Second Genome Ontology to handle our metadata. I moved on to the Lattice group, located at Stanford University, where I continued to expand my skills in data curation (2021-present). I have gained experience in handling single cell datasets and their associated metadata, and curating them to meet precise standards. I strive to work collaboratively with data contributors in order to ensure FAIR data standards.
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Katrin Sangkuhl
Scientific Data Curator, Biomedical Data Science
Current Role at StanfordSenior Scientific Curator
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Caroline Thorn
Scientific Data Curator 2, Biomedical Data Science
Current Role at StanfordScientific curator at ClinPGx
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Ryan Whaley
Technical Lead, Biomedical Data Science
Current Role at StanfordRyan is a software developer in the Department of Genetics and a co-technical lead of the PharmGKB. He is a Java developer with a background in database administration and project management and has been with the PharmGKB since 2007.
