My research interests lie in the area of applied microeconometrics, empirical IO, data analysis and machine learning.
My current work is centered around estimating discrete choice models using a combination of random coefficient logit models, LASSO and random forests.
I am currently teaching two courses at Boston College: Software Tools for Data Analysis at Woods College of Advancing Studies and Machine Learning in Economics at Economics Department.
Software Tools for Data Analysis is a graduate course for students in Masters Of Applied Economics program (see details on GitHub).
Machine Learning in Economics is an upper level undergraguate elective course for Economics and Computer Science majors (see details on GitHub).
