I’m a Data Scientist at Prosper, where I build machine learning models for credit, fraud, marketing, and more. I earned a PhD in Economics from the University of Pennsylvania, where my research centered on the empirical study of marriage markets using equilibrium matching models. During my PhD, I developed a Julia package, MarriageMarkets.jl, for solving equilibria of various marriage market models. I’m also an Insight Data Science alum (Summer 2017, Silicon Valley).
I’m an unabashed computer nerd with a strong preference for keyboard-driven interfaces (take note of the keyboard navigation on this website). My essentials are:
Check out my dotfiles to see how I configure them.
I’m very excited about Julia, a powerful new scientific computing language which is poised to win over a large chunk of mindshare from Python / R / Matlab / Fortran / C++.