I am a principal scientist at 23andMe, where I study the genetics of complex human diseases and traits using one of the world's largest genetic databases.

I use tools from statistics, mathematics, and machine learning to understand complex trait biology and our ability to make predictions based on genetics.

My work has lead to the discovery of genetic associations with a wide range of conditions, including Parkinson's disease, hypothyroidism, cilantro dislike, and dimples.

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. I joined 23andMe in 2008.

I occasionally blog about statistics and risk prediction at the Turning of the Key.

Research Interests

Statistics, machine learning and discrete mathematics

Genetic architecture and risk prediction of complex traits

Integrating sequencing data into genome-wide association studies

Cancer tumor progression and HIV population evolution