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 РProvo), 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.