Chirag Patel, PhD
Associate Professor of Biomedical Informatics
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
DBMI Courses
- BMI 704 - Data Science I: Data Science for Medical Decision Making
- BMI 722 - Topics in Translational Biomedical Informatics
Career Opportunities
MeSHDD: Literature-based drug-drug similarity for drug repositioning.
Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health.
Authors: Manrai AK, Cui Y, Bushel PR, Hall M, Karakitsios S, Mattingly CJ, Ritchie M, Schmitt C, Sarigiannis DA, Thomas DC, Wishart D, Balshaw DM, Patel CJ.
Annu Rev Public Health
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Annu Rev Public Health
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A standard database for drug repositioning.
The Exposome Research Paradigm: an Opportunity to Understand the Environmental Basis for Human Health and Disease.
Systematic correlation of environmental exposure and physiological and self-reported behaviour factors with leukocyte telomere length.
The renin inhibitor aliskiren protects rat lungs from the histopathologic effects of fat embolism.
Authors: Fletcher AN, Molteni A, Ponnapureddy R, Patel C, Pluym M, Poisner AM.
J Trauma Acute Care Surg
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J Trauma Acute Care Surg
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Investigating nutrition and lifestyle factors as determinants of abdominal obesity: an environment-wide study.
Authors: Wulaningsih W, Van Hemelrijck M, Tsilidis KK, Tzoulaki I, Patel C, Rohrmann S.
Int J Obes (Lond)
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Int J Obes (Lond)
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A data-driven search for semen-related phenotypes in conception delay.
Analytic Complexity and Challenges in Identifying Mixtures of Exposures Associated with Phenotypes in the Exposome Era.
Updated Estimates of Ectopic Pregnancy among Commercially and Medicaid-Insured Women in the United States, 2002-2013.
