I am an Economics Ph.D. student and NSF Graduate Research Fellow at MIT. Previously, I was a research analyst at the New York Fed, working with the dynamic stochastic general equilibrium (DSGE) team under Marco Del Negro on academic research, policy analysis, forecasting, and model development.
I graduated from Brown University in 2018 with an Sc.B. in mathematics and computer science, where I worked extensively with Amy Greenwald on topics in algorithmic game theory and reinforcement learning.
I am also a lead developer of DSGE.jl, a Julia package for solving, estimating, and forecasting DSGE models; StateSpaceRoutines.jl, which contains common filtering and smoothing algorithms for state-space models; and SMC.jl, which implements variations of sequential Monte Carlo (SMC) sampling for the approximation of posterior distributions.
Massachusetts Institute of Technology (MIT)
Ph.D. in Economics and Statistics, 2020-26 (expected)
NYU Courant Institute of Mathematical Sciences
Non-Degree Mathematics Masters Student, 2018-20
Sc.B. in Mathematics and Computer Science (magna cum laude, Phi Beta Kappa), 2014-18