Faculty
BMIR is made up of world class leaders and researchers in biomedical informatics, translational science, and quantitative sciences.
Jonathan H. Chen, MD, PhD
Assistant Professor of Medicine, Biomedical Informatics Research
Dr. Chen is a physician-scientist with professional software development experience as an entrepreneur and graduate training in computer science. He practices Internal Medicine for the reward of caring for patients and to inspire research, mining clinical data sources to inform recommendations for medical decision-making.
Dr. Chen is an expert in Electronic Health Records, Data-Mining, Crowd-sourcing, Recommender Systems, Collaborative Filtering, Observational Research, Medical Decision Making, Machine Learning, Secondary Analysis, Clinical Decision Support. Dr. Chen joined Stanford BMIR in 2017 as an Assistant Professor.
Education:
PhD, University of California, Irvine
MD, University of California, Irvine
Residency: Internal Medicine, Stanford University
Fellowship: Palo Alto VA Healthcare System
Administrative Contact:
Georgia Sideri: sideri24@stanford.edu
Manisha Desai, PhD
Professor of Medicine, Biomedical Informatics Research
Section Chief, Biostatistics
Dr. Desai is the Director of the Quantitative Sciences Unit and is an expert in the handling of missing data, the translation of randomized clinical trial findings to real-world target populations, the incorporation of digital health data to clinical trials, and the design of clinical trials. As Director of the Quantitative Sciences Unit (QSU), she manages a group of faculty and PhD and Master’s level staff who collaborate with clinical and translational investigators throughout the School of Medicine. Dr. Desai joined the Department of Medicine at Stanford University in 2009.
Education:
PhD, University of Washington, Seattle, WA, Biostatistics
Administrative Contact:
Ni Deng: nideng@stanford.edu
Deendayal Dinakarpandian, MD, PhD
Clinical Associate Professor of Medicine, Biomedical Informatics Research
Dr. Deendayal Dinakarpandian (“Dinakar”) joined BMIR in 2018 as a Clinical Associate Professor. Prior to that, he was an Associate Professor at the University of Missouri-Kansas City and came to Stanford as a Visiting Associate Professor in the Department of Medicine in 2017. Dinakar is interested in methods development and insightful informatics based on his training as a physician, biochemist, and computer scientist. He is now focused on informatics research to help transform healthcare from where it is now to what it ought to be. He is interested in capturing and integrating emerging or expert biomedical knowledge to improve computational predictions of biological and clinical relevance. Methods for adapting and evaluating machine learning. Interventional and causal predictions. Informatics research on problems in oncology, and the essential role of equity for the survival of humanity.
Education:
PhD, Case Western Reserve University, Biochemistry
MD, Jawaharlal Institute of Medical Education and Research
N. Lance Downing, MD
Clinical Assistant Professor of Medicine, Biomedical Informatics Research
Dr. Downing is a physician (Internal Medicine) and an expert in clinical decision support, electronic health records, clinician burnout, and applications of artificial intelligence in healthcare. Dr. Downing joined BMIR in 2016 as a Clinical Assistant Professor of Medicine.
Education:
MD, Case Western Reserve School of Medicine
Residency: Internal Medicine, Stanford University
Fellowship: Medical Informatics, Stanford University
Andrew Gentles, PhD
Assistant Professor of Medicine, Biomedical Informatics Research
Dr. Gentles is an expert in computational systems biology of human disease, with a focus on integration of high-throughput datasets with each other, and phenotypic information and clinical outcomes. He leads a team that uses a variety of statistical/machine learning approaches to analyze and integrate genomic and proteomic datasets. Dr. Gentles joined BMIR in 2016 as an Assistant Professor and as a member of the Quantitative Sciences Unit.
Education:
PhD, University of Southampton, UK, Theoretical particle physics
Olivier Gevaert, PhD
Assistant Professor of Medicine, Biomedical Informatics Research
Dr. Gevaert is an expert in machine learning for biomedical data fusion. His research includes work in bioinformatics, computational biology, imaging genomics, radiogenomics, quantitative imaging, machine learning and biomedical decisions support. Dr. Gevaert joined Stanford BMIR in 2015, as an Assistant Professor. Prior to that he was a research associate and post-doc at the Stanford Department of Radiology.
Education:
PhD, University of Leuven, Belgium, Bioinformatics
Tina Hernandez-Boussard, PhD
Associate Professor of Medicine, Biomedical Informatics Research
Dr. Hernandez-Boussard's background and expertise is in computational biology as well as in health-services research. Her research concentrates on accountability measures, population health, and health policy. A key focus of her research is the application of novel methods and tools to large clinical datasets for hypothesis generation, comparative effectiveness research, and the evaluation of quality healthcare delivery.
Education:
PhD, University Claude Bernard, Lyon 1, Computational Biology
Administrative Contact:
Nhung Lai: nhunglai@stanford.edu
Purvesh Khatri, PhD
Associate Professor of Medicine, Biomedical Informatics Research
Institute for Immunity, Transplantation and Infection
Dr. Khatri is an expert in the areas of bioinformatics, computational biology, and translational medicine. He actively collaborates with many investigators on the Stanford campus and at other institutions, with a goal to implement and disseminate new diagnostic methods to identify novel biomarkers and therapeutic targets. He and his team develop methods for the integration and analysis of high throughput genomics and proteomics data.
Education:
PhD, Wayne State University, Computer Science
Mark Musen, MD, PhD
Professor of Medicine, Biomedical Informatics Research
Director, Stanford Center for Biomedical Informatics Research
Dr. Musen leads Stanford Center for Biomedical Informatics Research and conducts research related to open science, data stewardship, intelligent systems, and biomedical decision support. His group developed Protégé, the world’s most widely used technology for building and managing terminologies and ontologies. He served as principal investigator of the National Center for Biomedical Ontology, one of the original National Centers for Biomedical Computing created by the U.S. National Institutes of Heath (NIH). He leads the Center for Expanded Data Annotation and Retrieval (CEDAR), founded as a Center of Excellence under the NIH Big Data to Knowledge Initiative, with the goal of developing new technology to ease the authoring and management of biomedical experimental metadata. Dr. Musen chaired the Health Informatics and Modeling Topic Advisory Group for the World Health Organization’s revision of the International Classification of Diseases (ICD-11). He currently directs BMIR's WHO Collaborating Center for Classification, Terminology, and Standards.
Education:
PhD, Stanford University, Medical Information Sciences
MD, Brown University
Residency, Stanford University Hospital, Internal Medicine
Administrative Contact:
Georgia Sideri: sideri24@stanford.edu
Nigam H. Shah, MBBS, PhD
Professor of Medicine, Biomedical Informatics Research
Associate Director, Stanford Center for Biomedical Informatics Research
Dr. Shah is Associate Director of the Center for Biomedical Informatics Research.
He is a physician-scientist and an expert in approaches that combine machine learning and knowledge of medical ontologies to drive the learning health system. He develops methods to analyze large unstructured data sets for use in data-driven medicine and to enable improvements is decision-making in medicine and health care. Dr. Shah joined the BMIR faculty in 2011. Prior to that he served as a Research Scientist at BMIR and trained as a Postdoctoral Fellow with Dr. Mark Musen between 2005 and 2007.
Education:
PhD, Pennsylvania State University, Molecular Medicine
MBBS, Baroda Medical College, Medicine
Administrative Contact:
Nhung Lai: nhunglai@stanford.edu
