About me

I am a Ph.D. student in the Decision, Risk, and Operations division of Columbia Business School.

My research interests lie broadly at the intersection of theoretical statistics and decision-making. In particular, I am interested in studying inference problems that arise in non-standard settings and developing tools that allow for reliable estimation of causal effects. To this end, I apply tools from learning theory, empirical processes, and stochastic optimization to decision-making problems.

I am currently working on projects that study the estimation of infinite-dimensional parameters in network models, offline policy evaluation under interference, and firm decisions in models of economic networks.

I graduated from the University of Chicago in 2019 where I studied mathematics and economics. Prior to my Ph.D., I also spent two years as a postgraduate research fellow at Yale University.

Please feel free to reach out via email at a.boyarsky@columbia.edu.