Alex Chin


Welcome! I recently completed my Ph.D. in Statistics at Stanford in March 2019, working with Johan Ugander. My dissertation developed new methods for conducting causal inference under interference.

I'm a statistician and data scientist. Methodology-wise, I am interested in the inferential challenges posed by complex data generating processes. My expertise in this domain includes causal inference, machine learning, and experimental design. Engineering-wise, I am interested in building scalable, end-to-end, production-quality data science software. I like to focus on combining these methodology and engineering skillsets to tackle challenging problems and build impactful data science product solutions.

I was born in Pittsburgh, PA, and grew up in Cary, NC. Before coming to Stanford I was a Park Scholar at NC State. I also spent a semester studying math in Budapest, Hungary.


Ph.D. Statistics, M.S. Statistics, Stanford UniversityMarch 2019

B.S. Mathematics, B.S. Economics, Minor in Linguistics, NC State UniversityMay 2014