I am current Lead Data Scientist at Thresher, where I code and maintain the underlying backend machine learning algorithm. I am also a Visiting Fellow at the Harvard Institute for Quantitative Social Science. I am based full-time in the Greater Los Angeles area.
My academic background is in political science and statistics, where I specialized in causal inference with experimental and observational data. However, I have since branched out and have worked on problems involving machine learning and natural language processing. I am equally fluent in both R and Python and have an affinity for good data visualization. One of my passions is teaching statistical methods, especially to non-technical audiences.
If you have an opportunity that you feel may suit my expertise, please feel free to reach out.
PhD in Political Science, 2013
Masters in Statistics, 2013
BA in Political Science, 2006
University of California, Los Angeles
Over the years, I’ve created a some teaching and learning materials for myself and my students that I find to be helpful. If you find them helpful or would like to use them somewhere, please do let me know!
Short tutorials on using R and LaTeX for beginners:
Slides of various statistical concepts:
Slides on Bayesian statistics:
Various materials from a Bayesian course I taught: