I am an incoming first year PhD candidate in the MECS program under the Departments of Managerial Economics & Decision Sciences and Strategy at Kellogg, Northwestern University. I recently graduated with Honors in Economics and a minor in Statistics from The University of Chicago.

My strong suits lie in applied microeconomics research and data-heavy project design, implementation & analysis. I have nearly a decade of practical experience with empirical research in labor, network, development, political and financial economics and—when applicable—like borrowing methods from experimental economics, machine learning and big data analysis. R and Python are my tools of choice.

Prior to starting my PhD program, I worked as a research professional at The University of Chicago, Northwestern University and Columbia University with Professors Emanuelle Colonnelli (Booth & visiting Harvard), Edoardo Teso (Kellogg), José Scheinkman (Columbia, Princeton & NBER) and Pedro Tremacoldi-Rossi (Columbia). In the more distant past, I worked as an undergraduate research assistant for Prof. Steven Levitt (2017-2019) and John List (2019). Between undergrad and grad school, I worked a quantitative investment strategy researcher in an algorithmic-trading fund in São Paulo.