Chirag Patel, PhD

Chirag Patel's long-term research goal is to address problems in human health and disease by developing computational and bioinformatics methods to reproducibly and efficiently reason over high-throughput data streams spanning molecules to populations. Patel's group aims to dissect inter-individual differences in human phenomes through strategies that integrate data sources that capture the comprehensive clinical experience (e.g., through the electronic medical record), the complex phenomena of environmental exposure (e.g., high-throughput measures of the exposome), and inherited genomic variation. He received his doctorate in biomedical informatics from Stanford University.

DBMI Research Areas

• Artificial Intelligence
• Clinical Decision Making
• Genes and Environment

DBMI Courses

• BMI 704 - Data Science I: Data Science for Medical Decision Making
• BMI 722 - Topics in Translational Biomedical Informatics

Career Opportunities

Postdoctoral Fellows: Single Cell Transcriptomics/Aging