About

Experience

Zachary McCaw is currently an Adjunct Instructor at the University of North Carolina at Chapel Hill. Previously, he served as:

• Senior Member of Research Staff at Voleon, where he worked on time series representation and forecasting.
• Staff Machine Learning Scientist at Insitro, where he worked on statistical genetics and clinical machine learning applied to oncology and neurodegenerative disease.
• Data Scientist at Google, where he worked on machine learning for genetic discovery and causal inference for developer productivity.

His research interests include biostatistics, machine learning, statistical genetics, and clinical trials.

Education

• 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, Transformation and Multivariate Methods for Improving Power in Genome-Wide Association Studies, developed new approaches for improving power in GWAS.
• He received an F31 National Research Service Award from the NHLBI for “Innovations in Genome-Wide Association Studies Inspired by Obstructive Sleep Apnea.”
• He also received 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.