Robert Dwyer, PhD.

EVP, Chief Data Scientist

Dr. Dwyer joined Certilytics in 2014, bringing over a decade of mathematical modeling and machine learning experience in both the private sector and academia, where he worked on problems ranging from the quantification of medical and financial risk to predictive genomics. He is responsible for overseeing the design and pathing of new ML/AI products. Dr. Dwyer graduated from the University of Virginia in 2009 with a B.S. in Biology. He then obtained his M.S. and Ph.D. in computational biology from Princeton University, where he developed variations of maximum entropy algorithms to predict three-dimensional protein folding patterns by mining genomic sequence data. Prior to Certilytics, he worked with a number of startups and think tanks to develop algorithms to predict student loan repayment rates and to track Defense Department allocations.