Cambridge, Massachusetts, United States
Predoctoral Associate at the Massachusetts Institute of Technology. M.A. Economics graduate from Columbia University in 2023. Received a B.A. in Financial Economics and a B.S. in Statistics from the University of Rochester in 2021. My research interest areas are urban economics, city planning, spatial equilibrium, international trade, and econometrics. Prior work experience includes being a research assistant, teaching assistant, and quantitative risk analyst. Experienced programming in Java, Python, R, Stata, SAS, SQL, and LaTex. My goal is to pursue a career in academia or the public sector.
Work on a multi-institution team comprising economists at MIT, Yale, and the U.S. Census Bureau. The main project concerns macro-finance questions surrounding the structure of U.S. retirement accounts. The goal is to use micro-level data to estimate model parameters and then use these to better understand the implications for savings rates, optimal policy, and wealth inequity.
Work on a project estimating trends in firm-level market power over time.
Worked with a Ph. D. candidate on a project covering social networks and internal migration. Sought to better understand how attachment to local communities inhibits population mobility between cities. Tasks included literature reviews, data preparation, and econometric analysis.
Head teaching assistant for an undergraduate course in money and banking. Tasks included designing problem sets, leading recitations, holding office hours, and grading.
Performed statistical analysis on indirect loan portfolio data using R, SAS, SQL, and Tableau. Built a new delinquency forecasting model using multivariate time-series analogues to ARIMA and VAR to allow for forecasts any number of months into the future. The project made use of an auto-optimization algorithm to choose the lag order every time we had to update the model. I presented both expected future values and retroactively tracked forecast accuracy to allow for post-hoc model adjustments. Other noteworthy projects included 1) implementing a Bayesian Poisson model to generate more accurate estimates of dealer loan charge-off rates and 2) using non-parametric Wilcoxon rank-sum tests to compare how COVID-19 has impacted the quality of loans received by the bank.
Hosted regular office hours and graded assignments for a Bayesian Inference course. Supervised 3 laboratory sessions for a Newtonian Mechanics course, provided tutoring, and assisted with grading. Hosted study groups and graded homework assignments for an introductory Oceanography course.