Alex Blocker is Head of Data Science at Foresite Capital, where his team works in statistical genetics, bioinformatics, machine learning, and platform engineering for the analysis of biomedical data. He was previously a data scientist for GRAIL, a company focused on early cancer detection using blood-based assays. At GRAIL, he drove development of classification methodology and machine learning-based somatic variant calling. Previously, he was technical lead for computational biology at Verily, where he led analysis of multi-omic studies in multiple sclerosis, guided the design of the Baseline study, and built core elements of data infrastructure. He came to Google and Verily after working as part of the quantitative team behind Google AdWords. He received a Ph.D. in statistics from Harvard University in 2013 and an M.A. in economics from Boston University in 2008. In addition to computational biology, his research has included statistical theory, asset valuation, astrophysics, information networks, and distributed computational methods for big data.