New papers: 'Deep Learning for Search and Matching Models', R&R, Econometrica; 'A Lagrangian Approach to Optimal Lotteries in Non-convex Economies', with slides available.
Research Experience
Has been a visiting faculty at NYU and Yale. Will be visiting UPenn in November 2025.
Education
Received PhD from Princeton in 2023.
Background
Research Interests: Macroeconomics, Finance, and Machine Learning. Brief: Assistant Professor at the University of Zurich and Swiss Finance Institute (SFI).
Miscellany
Hiring: He and his coauthors are hiring research assistants in deep learning and macro/finance. Training: Taught at Turin Summer School on 'Deep Learning for Dynamic Stochastic Models', course materials available online.