His research interests include the development and application of machine learning methods to genomics and the biology of human health. Recent projects include efforts to use deep learning image classification methods to improve the detection of genetic variation from high-throughput sequencing data and to interpret cellular morphology and function. Before joining Google, Cory was a research scientist at 23andMe where he studied Parkinson's disease and population genetics. He received his B.S. and M.Eng. in computer science from MIT and his M.S. and Ph.D. in computer science from Stanford University.