Ari Boyarsky

I am a fourth year PhD candidate in the Decision, Risk, and Operations division of Columbia Business School where I am fortunate to be advised by Professor Hongseok Namkoong. I was also a 2023 - 2024 Deming Doctoral Fellow.

My research interests lie broadly at the intersection of statistical inference, machine learning, and decision-making. In particular, I am interested in studying statistical inference problems that arise in unconventional settings and developing tools that allow for reliable estimation of causal effects. Recently, I have also worked on experimental design and non-parametric statistics.

Before joining Columbia, I graduated from the University of Chicago in 2019 where I studied mathematics and economics. I also spent two years as a research fellow at Yale University.

Please don’t hesitate to contact me via email at a.boyarsky@columbia.edu.