Featured on Forbes 30 Under 30 and The Root 100 Most Influential African Americans list; received an Alfred P. Sloan Research Fellowship, a Packard Foundation Fellowship for Science and Engineering, a COPSS Emerging Leader Award, and the Annie T. Randall Innovator Award from the Biometrics Section of the ASA; published several preprints.
Research Experience
Currently a Principal Researcher at Microsoft Research. Completed PhD dissertation titled 'Bayesian Kernel Models for Statistical Genetics and Cancer Genomics' as a Duke Dean’s Graduate Fellow and NSF Graduate Research Fellow, which was awarded the Leonard J. Savage Award in Applied Methodology.
Education
PhD from the Department of Statistical Science at Duke University, co-advised by Sayan Mukherjee and Kris C. Wood; Bachelor of Science degree in Mathematics from Clark Atlanta University.
Background
Research interests include developing interpretable machine learning and AI algorithms to study how genetic effects and gene-by-environmental interactions influence complex traits and disease progression. Leads Project Ex Vivo, a collaborative effort between Microsoft and the Broad Institute focused on defining, engineering, and targeting cell states in cancer.