I graduated summa cum laude from Cornell University’s College of Arts and Sciences, quadruple majoring in Computer Science, Economics, Mathematics, and Computational Econometrics. I completed the latter major as a part of the College Scholar Program.

In my thesis for the Program, I present an econometric framework, which adapts a permutation-based method of variable importance to understand why human decision-makers make the choices they do. I discuss some of the considerations in implementing the framework, explain how reliance computations have policy implications, and work through illustrative examples.