About

Zachary McCaw is currently a Staff Machine Learning (ML) Scientist at Insitro, and an Adjunct Instructor at the University of North Carolina at Chapel Hill. Previously, he worked on causal inference and genetic discovery for ML-derived phenotypes at Google. His research interests include machine learning, statistical genetics, and survival analysis.

Zachary conducted postdoctoral research on cross population fine-mapping with Professor Hilary Finucane at the Broad Institute. He completed his Ph.D. in Biostatistics with Professor Xihong Lin at the Harvard T.H. Chan School of Public Health. His dissertation developed “Transformation and Multivariate Methods for Improving Power in Genome-Wide Association Studies.” Zachary received an F31 National Research Service Award from the NHLBI for “Innovations in Genome-Wide Association Studies Inspired by Obstructive Sleep Apnea,” and an Intramural Research Training Award from the NIEHS, where he studied respiratory genetics with Dr. Steven Kleeberger. He completed his B.S.P.H. in Biostatistics and B.S. in Quantitative Biology at UNC Chapel Hill.