Faculty members attend the 2019 DBDS Symposium.
Biomedical Data Science Faculty
Professor of Biomedical Data Science, of Genetics and, by courtesy, of Biology
Research Areas:
- Human Population Genetics
- Genomics Technology
- Evolutionary Biology
- Health Disparities
John A. Overdeck Professor, Professor of Statistics and of Biomedical Data Sciences
Research Areas:
- Biostatistics
- Machine/Statistical Learning
Marjorie Mhoon Fair Professor of Quantitative Science and Professor of Statistics and of Biomedical Data Sciences
Research Areas:
- Biostatistics
- Multivariate Analysis
- Signal Processing
- Estimation Theory
Professor (Research) of Biomedical Data Science, of Medicine (BMIR) and, by courtesy, of Genetics
Research Areas:
- Pharmacogenomics
- Clinical Genomics
- Bioinformatics
- Computational Biology
Professor of Biomedical Data Science and, by courtesy, of Radiology (Molecular Imaging) and of Epidemiology and Population Health
Research Areas:
- Biostististics
- Clinical Trials
- Medical Decision Making
- Medical Diagnosis
- Cancer
- Quality Control
Research Areas:
- Bioinformatics
- Computatonal Biology
- Cancer Genomics
- Stem Cell Bioinformatics
- Machine/ Statistical Learning
Assistant Professor of Statistics and of Biomedical Data Science
Research Areas:
- Machine/ Statistical Learning
- Computational Biology
- Genetics
- Evolutionary Genetics
- Statistics
Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford)
Research Areas:
- Precision Oncology
- Systems Biology
- Multi-Omic Integration
- Imaging Informatics
- Machine/ Statistical Learning
- Simulation Analysis
Research Areas:
- Human Genetics
- Statistical Genetics
- Learning Healthcare Systems
- Biostatistics
Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford), of Medicine (Biomedical Informatics Research) and, by courtesy, of Ophthalmology and of Computer Science
Research Areas:
- Imaging Informatics
- Artificial Intelligence (AI)
- Decision Support
Research Areas:
- Genetics & Genomics
- Replicability
- Fairness
- Uncertainty Assessment
- Data Science Education
Associate Professor of Biomedical Data Science, of Biochemistry and, by courtesy, of Statistics
Research Areas:
- Bioinformatics
- Genetics
- Machine/Statistical Learning
- Computational Biology
Professor of Biomedical Data Science and, by courtesy, of Statistics
Research Areas:
Biostatistics
Clinical Trials
Precision Medicine
Meta Analysis
Professor of Biomedical Data Science and of Statistics
Research Areas:
- Biostatistics
- Machine/Statistical Learning
Stephen R. Pierce Family Goldman Sachs Professor of Science and Human Health and Professor of Biomedical Data Science
Research Areas:
- Computational Biology
- Statistics
Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
Research Areas:
- Machine/Statistical Learning
- Deep Learning
- Bioinformatics
- Computer Vision
- Medical Imaging
- Computational Biology
Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
Research Areas:
- Machine/Statistical Learning
- AI for Health
- Computational Biology
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine (General Medical Discipline), of Biomedical Data Science and, by courtesy, of Computer Science
Research Areas:
- Biomedical Informatics
- Artificial Intelligence (AI)
- Machine Learning
- Pharmacogenomics
- Structural Bioinformatics
- Natural Language Processing
- Knowledge Graphs
- Drug Discovery
- Pharmacology
Associate Dean, School of Medicine, Roger and Joelle Burnell Professor of Genomics and Precision Health, Professor of Medicine (Cardiovascular Medicine), of Genetics, of Biomedical Data Science and, by courtesy, of Pathology
Research Areas:
- Genetics & Genomics
- Multi-Omics
- Machine Learning
- Deep Learning
- Digital Health
- Human Performance
- Network Biology
Professor of Developmental Biology, of Computer Science, of Pediatrics (Genetics) and of Biomedical Data Science
Li Family Endowed Professor, Professor (Research) of Medicine (Quantitative Sciences Unit), of Biomedical Data Science and, by courtesy, of Epidemiology and Population Health
Research Areas:
- Biostatistics
- Missing Data
- Generalizing Trial Findings to Target Populations
- Incorporating Mobile and Digital Health Data Into Clinical Trials
- Design of Pragmatic Clinical Trials
Associate Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Research Areas:
- Bioinformatics
- Computational Biology
- Machine Learning
Associate Professor of Medicine (Biomedical Informatics), of Biomedical Data Science, of Surgery and, by courtesy, of Epidemiology and Population Health
Research Areas:
- Biomedical Informatics
- Clinical Informatics
- Epidemiology
- Health Policy
Associate Professor (Research) of Medicine (Biomedical Informatics - Research Institute for Immunity, Transplantation and Infection) and of Biomedical Data Science
Research Areas:
- Multi-Cohort Analysis
- Machine Learning
- Translational Medicine
- Systems Immunology
- Diagnostics
Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Research Areas:
- Open Science
- Data Management
- Data and Metadata Standards
- Ontology
- Decision Support
Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Research Areas:
- Health Informatics
- Medical Informatics
- Healthcare
Professor of Pediatrics (Systems Medicine), of Biomedical Data Science and, by courtesy, of Psychiatry and Behavioral Sciences
Research Areas:
- AI Medicine
- Digital and Mobile Approaches to Child Health
- Empathic AI
- Crowdsourcing
- Genomics
- Microbiome Health
Professor of Epidemiology and Population Health, of Biomedical Data Science and, by courtesy, of Genetics
Research Areas:
- Bioinformatics
- Statistical Genetics
- Cancer Risk Prediction
- Genetic Epidemiology
- Epidemiology Methods
Associate Professor (Research) of Anesthesiology, Perioperative and Pain Medicine (Adult MSD), of Pediatrics (Neonatology) and, by courtesy, of Biomedical Data Science
Research Areas:
- Systems Biology
- Machine Learning
- Artificial Intelligence
- Multiomics Profiling
- Single Cell Biology
- Electronic Health Records
- Wearable Devices
- Maternal and Child Health
- Perioperative Care
Assistant Professor (Research) of Radiology (Integrative Biomedical Imaging Informatics at Stanford) and, by courtesy, of Biomedical Data Science
Research Areas:
- Machine Learning
- Medical Imaging
- Informatics
- Computer Vision
Assistant Professor (Research) of Medicine (Quantitative Sciences Unit) and, by courtesy, of Biomedical Data Science
Research Areas:
- Bioinformatics
- Computational Biology
- Systems Biology
- Machine Learning
- Cancer
- Neurodegenerative Disease
- Genomics
- Proteomics
Professor of Medicine (Stanford Prevention Research), of Epidemiology and Population Health and by courtesy, of Statistics and of Biomedical Data Science
Research Areas:
- Meta-Research
- Biostatistics
- Bioinformatics
- Evidence-Based Medicine
Ray Lyman Wilbur Professor and Professor, by courtesy, of Biomedical Data Science
Professor (Research) of Psychiatry and Behavioral Sciences and, by courtesy, of Biomedical Data Science
Research Areas:
- Statistical Genetics and Genomics
- Statistics in Psychiatry and Other Areas of Medical Research
- Quantifying Uncertainty
Assistant Professor of Radiology (Canary Center) and, by courtesy, of Biomedical Data Science
Research Areas:
- Computational Biology
- Mathematical Modeling
- Cancer Evolution
- Cancer Early Detection
Adjunct Professor, Biomedical Data Science
Research Areas:
- Biostatistics
- Clinical trials
- Group sequential designs
- Adaptive designs
Research Areas:
- Population Health Data Science
- Natural Language Processing
- Information Extraction
- Machine Learning
- Knowledge-Based Systems
- Clinical Decision Support
Research Areas:
- Application of Statistics to Science (Biostatistics)
- Application of Statistics to the Law
Max H. Stein Professor and Professor of Statistics and of Biomedical Data Science, Emeritus
Research Areas:
- Empirical Bayes
- Bootstrap
- Jackknife
- Exponential Families
Research Areas:
- Adaptive Clinical Trials
- Contextual MultiArmed Bandit Theory Applied to Learning Health Care Systems
Research Areas:
- Point and interval estimation regarding T cells and B cells of the adaptive human immune system
Professor of Health Research and Policy (Epidemiology) and of Biomedical Data Science, Emerita
Professor Emerita, Epidemiology and Population Health
Research Areas:
- Genetic epidemiology of cancers of the breast, ovary and prostate
DBDS on Diversity
We are committed to our historical and ongoing mission to use biomedical data science to improve human health. A cornerstone of this mission is diversity, reflected in embracing a breadth of complementary research interests, research styles, and a diverse and inclusive community. DBDS recognizes that we have significant work to do in shaping our future as we work towards achieving justice, equity, diversity and inclusion throughout our work and operations, our research and activities, and our professional relationships and partnerships.
Stanford's Land Acknowledgment Statement
Stanford sits on the ancestral land of the Muwekma Ohlone Tribe. This land was and continues to be of great importance to the Ohlone people. Consistent with our values of community and inclusion, we have a responsibility to acknowledge, honor, and make visible the University’s relationship to Native peoples.
This acknowledgment has been developed in collaboration with the Muwekma Ohlone Tribe.