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
In the Era of Precision Medicine and Big Data, Who Is Normal?
Aether: leveraging linear programming for optimal cloud computing in genomics.
Authors: Luber JM, Tierney BT, Cofer EM, Patel CJ, Kostic AD.
Bioinformatics
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Bioinformatics
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Systematic identification of correlates of HIV infection: an X-wide association study.
Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API.
Authors: Gutiérrez-Sacristán A, Guedj R, Korodi G, Stedman J, Furlong LI, Patel CJ, Kohane IS, Avillach P.
Bioinformatics
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Bioinformatics
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Computational repositioning and preclinical validation of mifepristone for human vestibular schwannoma.
Authors: Sagers JE, Brown AS, Vasilijic S, Lewis RM, Sahin MI, Landegger LD, Perlis RH, Kohane IS, Welling DB, Patel CJ, Stankovic KM.
Sci Rep
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Sci Rep
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Leveraging Population-Based Clinical Quantitative Phenotyping for Drug Repositioning.
Authors: Brown AS, Rasooly D, Patel CJ.
CPT Pharmacometrics Syst Pharmacol
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CPT Pharmacometrics Syst Pharmacol
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Integrated Analysis of Gene Expression Differences in Twins Discordant for Disease and Binary Phenotypes.
A review of validation strategies for computational drug repositioning.
Tumor treating fields increases membrane permeability in glioblastoma cells.
Authors: Chang E, Patel CB, Pohling C, Young C, Song J, Flores TA, Zeng Y, Joubert LM, Arami H, Natarajan A, Sinclair R, Gambhir SS.
Cell Death Discov
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Cell Death Discov
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Systematic detection of positive selection in the human-pathogen interactome and lasting effects on infectious disease susceptibility.
