I studied mathematics at MIT and UC Berkeley. After graduating, I was a NSF postdoc at Stanford University and a Visiting Assistant Professor in Statistics at the University of Chicago, working in statistics, high-throughput sequencing, and viral evolution. After that, I spent six years as a principal scientist at 23andMe, where I studied the genetics of a wide range of complex traits, from Parkinson's disease to cilantro dislike. I became a data scientist at Coursera in 2014, where I worked to make online education more effective, available, and fun. After a stint at Calico working on longevity, I've returned to 23andMe, where I work on building data products to help customers improve their health outcomes.

Research Interests

Statistics, machine learning and discrete mathematics

Complex trait genetics, genome-wide association studies, heritability, and sequencing

Cancer tumor progression and HIV population evolution