Chirag Patel, PhD

Chirag Patel, PhD

Associate Professor of Biomedical Informatics

10 Shattuck Street, Boston, MA 02115

Chirag Patel's Group

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
Career Opportunities

Postdoctoral Fellows: Single Cell Transcriptomics/Aging

Published registry-based pharmacoepidemiologic associations show limited concordance with agnostic medication-wide analyses.
Authors: Axfors C, Patel CJ, Ioannidis JPA.
J Clin Epidemiol
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A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease.
Authors: Andrews B, Wongchokprasitti C, Visweswaran S, Lakhani CM, Patel CJ, Cooper GF.
Artif Intell Med
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Quantifying Shared and Unique Gene Content across 17 Microbial Ecosystems.
Authors: Zimmerman S, Tierney BT, Patel CJ, Kostic AD.
mSystems
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Prediction and stratification of longitudinal risk for chronic obstructive pulmonary disease across smoking behaviors.
Authors: He Y, Qian DC, Diao JA, Cho MH, Silverman EK, Gusev A, Manrai AK, Martin AR, Patel CJ.
medRxiv
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Prioritization of COVID-19 risk factors in July 2020 and February 2021 in the UK.
Authors: Tangirala S, Tierney BT, Patel CJ.
Commun Med (Lond)
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Systematic comparisons between Lyme disease and post-treatment Lyme disease syndrome in the U.S. with administrative claims data.
Authors: Chung MK, Caboni M, Strandwitz P, D'Onofrio A, Lewis K, Patel CJ.
EBioMedicine
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O-RADS US Risk Stratification and Management System: Case-based Learning Approach for Daily Practice.
Authors: Hack K, Strachowski L, Andreotti RF, Ghandehari H, Jha P, Lim C, Patel C, Glanc P.
Radiographics
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Association and Interaction of Genetics and Area-Level Socioeconomic Factors on the Prevalence of Type 2 Diabetes and Obesity.
Authors: Cromer SJ, Lakhani CM, Mercader JM, Majarian TD, Schroeder P, Cole JB, Florez JC, Patel CJ, Manning AK, Burnett-Bowie SM, Merino J, Udler MS.
Diabetes Care
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Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery.
Authors: Nguyen VK, Middleton LYM, Huang L, Zhao N, Verly E, Kvasnicka J, Sagers L, Patel CJ, Colacino J, Jolliet O.
medRxiv
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Machine learning approaches to predict age from accelerometer records of physical activity at biobank scale.
Authors: Le Goallec A, Collin S, Jabri M, Diai S, Vincent T, Patel CJ.
PLOS Digit Health
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