Ewy Mathé is the director of informatics in the Division of Preclinical Innovation at NCATS. She leads a diverse team of experts in bioinformatics, cheminformatics, data science and software development who empower translational scientists to make meaningful data-driven decisions in their research by developing data analysis, methods and analytical applications.
Prior to joining NCATS in 2020, Mathé was a faculty member in the Department of Biomedical Informatics at The Ohio State University, where she developed analytical approaches for the analysis and interpretation of metabolomics data, including integration of metabolomics with gene expression, microbiome and epigenomics data.
Mathé’s multidisciplinary training and education spans high-throughput data analysis, molecular epidemiology, epigenomics and metabolomics. She received a bachelor’s degree in biochemistry (minor in sociology) from Mount St. Mary’s University in Emmitsburg, Maryland, in 2000 and a doctorate in bioinformatics from George Mason University in Fairfax, Virginia, in 2006. During her postdoctoral training at the National Cancer Institute with Curtis C. Harris, M.D., Mathé discovered putative esophageal and lung cancer biomarkers using microRNA microarrays and metabolomics. She then joined the laboratory of Rafael C. Casellas, Ph.D., at the National Institute of Arthritis and Musculoskeletal and Skin Diseases, where she used next-generation sequencing techniques to better understand the modalities of transcriptional regulation in B lymphocytes.
Mathé’s team currently is developing computational resources, methods and tools that optimize the use of large-scale molecular (high-throughput screening, multi-omics, etc.) and knowledge-driven data sets (various sources of information on drugs, including mechanisms of action, regulatory status, drug targets, diseases, biological functions, etc.). These methods and tools are applied in a variety of translational research projects, including some addressing rare diseases, through collaborative work ranging from identifying biomarkers of various biomedical endpoints to identifying putative drug targets.
Mathé’s personal research interests are in developing methods and frameworks to guide the analysis, integration and interpretation of multi-omics data to identify valid biomarkers and therapeutic targets for the diagnosis, prognosis and treatment of various diseases. She applies these computational approaches in collaborative translational research projects to define disease-specific molecular mechanisms and phenotypes. Mathé has co-authored more than 40 peer-reviewed publications and co-edited a book published by Springer titled “Statistical Genomics.” She serves on the editorial board for Metabolites, the official journal of the Metabolomics Society. Mathé is active in the metabolomics community (Metabolomics of North America, Metabolomics Society, Consortium of Metabolomics Studies) and is a proponent of open-source software development and data.