School of Medicine
Showing 11-20 of 44 Results
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Jason Alan Fries
Assistant Professor of Biomedical Data Science and of Medicine (Computational Medicine)
BioJason Fries' research focuses on training and evaluating foundation models for healthcare, positioned at the intersection of computer science, medical informatics, and hospital systems. His work explores the use of electronic health record (EHR) data to contextualize human health, leveraging longitudinal patient information to inform model development and evaluation. His research has been published in venues such as NeurIPS, ICLR, AAAI, Nature Communications, Nature Medicine and npj Digital Medicine.
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Andrew Gentles
Associate Professor (Research) of Pathology, of Medicine (Computational Medicine) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsComputational systems biology
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Olivier Gevaert
Associate Professor of Medicine (Computational Medicine) and of Biomedical Data Science
Current Research and Scholarly InterestsMy lab focuses on biomedical data fusion: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. We primarily use methods based on regularized linear regression to accomplish this. We primarily focus on applications in oncology and neuroscience.
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Maxime Griot
Affiliate, Computational Medicine
BioMaxime Griot, M.D. PhD, is a research scientist at the intersection of medicine and frontier artificial intelligence. Dr. Griot studied computer science at Université d'avignon in France before obtaining his M.D. in from Université catholique de Louvain in Belgium. Following his M.D. he pursued a PhD in computer science and medicine at the Université catholique de Louvain.
Dr. Griot's work spans the complete pipeline of medical LLM development, from requirements engineering, training, evaluation, implementation, and post-market surveillance. He notably created Chopper, a chatbot intergated in the Epic EHR at the university hospital Cliniques universitaires Saint-Luc, serving more than 2000 users and hundreds of thousands of requests. -
David Grüning
Affiliate, Computational Medicine
BioI'm a researcher at Stanford's Digital Health Team within the Center for Biodesign and at the Max-Planck Institute at the Center for Adaptive Rationality. In my research I focus on digital interventions for well-being and user autonomy through app-based tools and on-platform interventions.
Besides my academic affiliations, I'm the Scientific Director of the one sec app (https://one-sec.app) and Structured app (https://structured.app), and the Science Board Director at the Prosocial Design Network (https://www.prosocialdesign.org), leading their research on digital interventions and creating frameworks and guidelines for use by researchers and practitioners in the field. -
Summer Han
Associate Professor (Research) of Neurosurgery, of Medicine (Computational Medicine) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsMy current research focuses on understanding the genetic and environmental etiology of complex disease and developing and evaluating efficient screening strategies based on etiological understanding. The areas of my research interests include statistical genetics, molecular epidemiology, cancer screening, health policy modeling, and risk prediction modeling. I have developed various statistical methods to analyze high-dimensional data to identify genetic and environmental risk factors and their interactions for complex disease.
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Josef Hardi
Software Dvlpr 3, Computational Medicine
BioI'm a software engineer with over 15 years of experience building reliable, scalable software systems. I’m especially passionate about software engineering, data modeling, and the emerging potential of agentic large language models (LLMs).
I work at the Stanford Center for Biomedical Informatics Research, where I help develop Protégé and WebProtégé, which are tools used worldwide for creating and managing ontologies. Recently, I contributed to the Human BioMolecular Atlas Program (HuBMAP) project, where I helped build the Human Reference Atlas (HRA) knowledge graph and designed metadata schemas to support a range of assay datasets produced by the consortium.
My core technical strengths are in Java, JavaScript, and Python. I enjoy working at the intersection of software engineering and data to build tools that empower researchers and improve data interoperability. -
Zihuai He
Associate Professor (Research) of Neurology and Neurological Sciences (Neurology Research), of Medicine (Computational Medicine) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsStatistical genetics and other omics to study Alzheimer's disease and aging.
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Tina Hernandez-Boussard
Professor of Medicine (Computational Medicine), of Biomedical Data Science, of Surgery and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsMy background and expertise is in the field of computational biology, with concentration in health services research. A key focus of my research is to apply novel methods and tools to large clinical datasets for hypothesis generation, comparative effectiveness research, and the evaluation of quality healthcare delivery. My research involves managing and manipulating big data, which range from administrative claims data to electronic health records, and applying novel biostatistical techniques to innovatively assess clinical and policy related research questions at the population level. This research enables us to create formal, statistically rigid, evaluations of healthcare data using unique combinations of large datasets.
