Alex directs Foresite Capital’s data science team, including our efforts in statistical genetics, bioinformatics, and machine learning for the analysis of biomedical data.
Prior to working with Foresite Capital, Alex worked as a staff data scientist for GRAIL, a life sciences company working to detect cancer early when it can be cured. At GRAIL, he drove development of classification methodology and machine learning-based somatic variant calling capabilities. Previously, Alex was a senior scientist and technical lead for computational biology at Verily, where he led analysis of multi-omic studies in multiple sclerosis, contributed to the design of the Baseline study, and built core elements of data infrastructure. He came to Google [x] and Verily after working as part of the quantitative team behind Google AdWords.
Alex holds a Ph.D. in statistics from Harvard University and an M.A. in economics from Boston University. In addition to computational biology, his research over the last 10 years has included statistical theory, asset valuation, astrophysics, information networks, and distributed computational methods for big data.