Wawer, MJ, Li, K, Gustafsdottir, SM et al. Toward performance-diverse small-molecule libraries for cell-based phenotypic screening using multiplexed high-dimensional profiling. Proc Natl Acad Sci USA. 2014 Jul 29;111(30):10911-6.
Wawer, MJ, Jaramillo, D, Danĉik, V et al. Automated Structure-Activity Relationship Mining: Connecting Chemical Structure to Biological Profiles. J Biomol Screen. 2014 Apr 7;19(5):738-748.
Wawer MJ, Lounkine E, Wassermann AM et al. Data structures and computational tools for the extraction of SAR information from large compound sets. Drug Discov Today. 2010 Aug;15(15-16):630-9.
Mathias Wawer, Ph.D.
Mathias Wawer is a computational biologist in the Clemons Group of the Center for the Science of Therapeutics at the Broad Institute of MIT and Harvard. His work at the Broad involves computational methods to study cellular responses to perturbation for molecular probe and therapeutics discovery. This includes applying cellular profiling methods (e.g., imaging and gene expression profiling) to build performance-diverse small-molecule screening libraries and discover compounds with novel mechanism of action. In addition, he is involved in several cancer therapeutics discovery and development projects.
Wawer developed his expertise in computational chemical biology, cheminformatics, small-molecule profiling, and bioinformatics in his native Germany, receiving a Diplom in molecular medicine and a Ph.D. in computational life sciences from the Rheinische Friedrich-Wilhelms-Universität Bonn / University of Bonn. He came to the Broad Institute in 2011 for postdoctoral study and has remained in the role of computational biologist since 2014.
Contact Mathias Wawer via email at firstname.lastname@example.org.