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
Comment: Addressing the Need for Portability in Big Data Model Building and Calibration.
aRrayLasso: a network-based approach to microarray interconversion.
Assessment of vibration of effects due to model specification can demonstrate the instability of observational associations.
Predictors and Consequences of Negative Patient-Provider Interactions Among a Sample of African American Sexual Minority Women.
Systematic assessment of the correlations of household income with infectious, biochemical, physiological, and environmental factors in the United States, 1999-2006.
Investigation of dietary factors and endometrial cancer risk using a nutrient-wide association study approach in the EPIC and Nurses' Health Study (NHS) and NHSII.
Authors: Merritt MA, Tzoulaki I, Tworoger SS, De Vivo I, Hankinson SE, Fernandes J, Tsilidis KK, Weiderpass E, Tjønneland A, Petersen KE, Dahm CC, Overvad K, Dossus L, Boutron-Ruault MC, Fagherazzi G, Fortner RT, Kaaks R, Aleksandrova K, Boeing H, Trichopoulou A, Bamia C, Trichopoulos D, Palli D, Grioni S, Tumino R, Sacerdote C, Mattiello A, Bueno-de-Mesquita HB, Onland-Moret NC, Peeters PH, Gram IT, Skeie G, Quirós JR, Duell EJ, Sánchez MJ, Salmerón D, Barricarte A, Chamosa S, Ericson U, Sonestedt E, Nilsson LM, Idahl A, Khaw KT, Wareham N, Travis RC, Rinaldi S, Romieu I, Patel CJ, Riboli E, Gunter MJ.
Cancer Epidemiol Biomarkers Prev
View full abstract on Pubmed
Cancer Epidemiol Biomarkers Prev
View full abstract on Pubmed
Branchio-oculo-facial syndrome: a three generational family with markedly variable phenotype including neonatal lethality.
Development of exposome correlation globes to map out environment-wide associations.
Placing epidemiological results in the context of multiplicity and typical correlations of exposures.
Studying the elusive environment in large scale.
