Ravi Mathur

Ravi Mathur is a Bioinformatician whose research focuses on integrating diverse datasets for novel molecular discoveries. Dr. Mathur has broad experience with a variety of molecular data types (genetics, gene expression, proteomics, microbiome, and metabolomics), and various computation approaches (association analysis, statistical programming, cloud computing, and data integration). Since joining RTI in 2017, he has served as a lead analyst on several projects funded by the National Institutes of Health (NIH), where he has successfully applied and led genome-wide association analysis, meta-analysis, genomic structure equation modeling, and multi-omics projects.

Dr. Mathur serves as the Statistical Geneticist for the RTI-led Integrative Omics Center for Accelerating Neurobiological Understanding of Opioid Addiction (ICAN)—a national network of genomics researchers supported by the National Institute on Drug Abuse (NIDA). In this role, he works with the ICAN project team to implement integrated analyses of GWAS data and provides subject matter expertise for the development of mapOA, a data sharing platform. Through his work as a Bioinformatics Scientist within the Data Management and Coordinating Center (DMCC) for the Myalgic and Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) Research Network—a project funded by multiple NIH Institutes—Dr. Mathur helped develop the private web portal, mapMECFS, which was built to enable data reuse and cross-center collaborations for ME/CFS researchers. He has also worked on the project team for the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) funded Pelvic Floor Disorders Network (PFDN) Data Coordinating Center, where he has served as the lead metabolomics and proteomic analyst for the Bioinformatics team and provided expertise as a study analyst on the SMM-CAPABLE protocol.

Dr. Mathur was the Project Director for a fellowship within the National Heart, Lung, and Blood Institute (NHLBI) funded BioData Catalyst, where he led the development of a reproducible pipeline for GWAS population controls analysis involving the integration of whole genome sequencing and array genotyping data. He is currently a Bioinformatics Analyst within the NHLBI funded BioData Catalyst Data Management Core (DMC) where he is working with various NHLBI funded consortiums (including Trans-Omics for Precision Medicine (TOPMed), Pediatric Cardiac Genomics Consortium (PCGC), and the Regenerative Medicine Innovation Project (RMIP)) to ingest, reuse, and analyze consortium data within BioData Catalyst.

Beyond his research in partnership with the NIH, he is the Co-Investigator for a project funded through the Pharmacotherapies for Alcohol and Substance Abuse (PASA) Consortium, which leverages multi- ‘omic data integration, aiming to improve the effectiveness and trajectory of treatment for alcohol and substance use disorders (ASUDs) and posttraumatic stress disorder (PTSD). Dr. Mathur has assisted multiple agency projects with data quality control, molecular annotation, missing data imputation, and statistical data analysis.

In addition to his project-related work, he has been a member of the American Society for Human Genetics (ASHG) since 2016.