I work at Calico in the intersection of machine learning, computational biology, and aging biology.

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.

I occasionally blog at the Turning of the Key.

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


1070 Veterans Blvd
South San Francisco, CA 94080

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Code on GitHub