Primary Interests: Statistical Genetics, Population Genetics, Statistical Machine Learning

Further Interests: Foundations and Philosophy of Mathematics, Philosophy and Methodology of Science

About Me

I am a first, second, third, fourth (!?) year graduate student in computational biology at UC Berkeley. I am co-advised by Lior Pachter and Noah Zaitlen and I am gratefully supported by an NSF Graduate Research Fellowship and (formerly) a Chancellors Fellowship for Graduate Study.

I am primarily interested in applications of statistical and computational methods to problems in the physical sciences. Currently I study the application of statistical machine learning techniques to the analysis of large-scale genomic datasets, in an attempt to untangle the genetic structure of complex human phenotypes. I am also interested in application of said techniques to molecular phenotypes such as gene expression. In a past life, I worked on quantum complexity theory.

I graduated from the University of Virginia in 2011 with a B.S in Physics, a B.A. in Computer Science, and a minor in Philosophy. If you are interested, my Distinguished Major Thesis is available here. In my spare time I enjoy strange electronic noises, surfing, ultimate frisbee, building stereos, being pretentious about coffee and spending time with my wife Claire and our dog Dorothy.