The brunt of my research has been in economics. With Rick Evans (Becker Friedman Institute, University of Chicago), Jason DeBacker (Middle Tennessee University) and Kerk Phillips (Brigham Young University – Provo), I helped to integrate a microsimulation model of tax policy into a dynamic general equilibrium macroeconomic model.
I also conducted research at the Federal Reserve Bank of New York (FRBNY) during the summer of 2016 with Marco Del Negro (FRBNY) and Marc Giannoni (FRBNY, Columbia University). I wrote a Julia implementation of a Sequential Monte Carlo estimator developed by Frank Schorfheide (University of Pennsylvania). This estimator, used for posterior sampling of the FRBNY’s dynamic stochastic general equilibrium model, was 10x faster than the existing Matlab version.
However, my interests shifted to machine learning and artificial intelligence after my summer at the Fed. During my senior year I researched the use of recurrent neural nets to estimate survival functions under Jeff Humpherys (Brigham Young University – Provo), and currently I am doing research in the Perception, Cognition, and Control lab run by David Wingate (Brigham Young University – Provo). My thesis is on Knowledge Tracing Using a Transformer Architecture.