(jgorham at stanford dot edu)
I'm a fifth year PhD student in the Stanford statistics department, advised by Lester Mackey and Emmanuel Candes. I received my B.S. (with honors) in mathematics from Stanford University in 2006 and my undergraduate advisor was Matthew Kahle.
My interests are in scalable machine learning, convex optimization, Stein's method, and data visualization. I've interned at Counsyl and also worked as a data scientist at Facebook. I do not think there's a best programming language, and I'm neither a frequentist nor a Bayesian. My preference is for whatever works best!