Primary Interests: Mathematical and Computational Biology, Statistical Machine Learning, Complexity
Further Interests: Foundations and Philosophy of Mathematics, Logic, Philosophy and Methodology of Science
I am a second year graduate student in computational biology at UC Berkeley. My advisor is Lior Pachter and I am gratefully supported by an NSF Graduate Research Fellowship and a Chancellors Fellowship for Graduate Study.
I am primarily interested in applications of statistical and computational methods to problems in the physical sciences. This currently manifests itself in the application of methods from machine learning to analyze data from various kinds of multi-locus high-throughput-sequencing based biological experiments. 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 surfing, playing ultimate frisbee, building stereos and being pretentious about coffee.