Primary Interests: Statistical genetics, precision medicine, population genetics, statistical machine learning

Further Interests: Equity and implicit bias in STEM education, philosophy and methodology of science

About Me

I am a first, second, third, fourth fifth year PhD student in computer science - 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 human health. 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 methods of combating inequity and implicit bias in STEM education, working with the Berkeley Science Network as a mentor and with the Summer Rising program as an instructor of computer science. 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 (prdominantly electronic) music, DIY audio, ultimate frisbee, coffee and spending time with my wife Claire and our dog Dorothy.