BMIR Faculty

Mark A. Musen 
Professor

Research Interests:
Clinical decision support systems, knowledge acquisition, knowledge representation, ontology, controlled terminology

Stanford CAP

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Nigam Shah
Associate Professor

Research Interests:
Methods to analyze large unstructured data sets for data-driven medicine

Stanford CAP

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Shah Lab

Manisha Desai
Professor of Medicine
Director, Quantitative Sciences Unit

Research Interests:
Collaborative biostatistics, methods for handling missing data, tools for analyzing clustered and correlated data, methods for analyzing epidemiologic studies

Stanford CAP

N. Lance Downing
Clinical Assistant Professor

Research Interests:
Population health, health information technology, computer vision in healthcare, patient reported outcomes

Stanford CAP

 

Andrew Gentles
Assistant Professor (Research), Quantitative Sciences Unit

Research Interests:
Computational systems biology of human disease. Particular focus on integration of high-throughput datasets with each other, and withphenotypic information and clinical outcomes. Data mining, machine learning, systems biology

Stanford CAP

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Olivier Gevaert
Assistant Professor

Research Interests:
Biomedical data fusion , biomedical decision support modeling, multi-scale data integration, radiogenomics integration, applications in oncology and neuroscience

Stanford CAP

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Gevaert Lab

Multi-scale Data Fusion for Complex Diseases

Tina Hernandez-Boussard
Associate Professor (Research)

Research Interests:
Quality improvement, Patient safety, Population Health Sciences

Stanford CAP

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Boussard Lab

Purvesh Khatri
Assistant Professor

Research Interests:
Translational medicine, biomarker discovery, role of immunity in disease, bioinformatics methods development

Stanford CAP

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Jonathan Chen
Assistant Professor

Research Interests:
Medical decision making, clinical decision support, data-mining, electronic medical records, collaborative filtering/recommender systems, artifical intelligence/machine learning, clinical informatics, physician computer usage and interaction, opioid prescribing, outcome research, high-value care

Stanford CAP

Medical Informatics