Research
Here is a list of published and working projects and papers
Working papers
- Dynamic Programming: From Local Optimality to Global Optimality
with John Stachurski and Jingni Yang
- Machine Learning Calvo's Optimal Plan
with Thomas J. Sargent
- Ramsey Plan for Calvo's Model
with Thomas J. Sargent
Published papers / reports
-
Machine Learning a Ramsey Plan
Quarterly Review, Federal Reserve Bank of Minneapolis, 2025
with Thomas J. Sargent
- QuantEcon.py: A community-based Python library for quantitative economics
The Journal of Open Source Software, 2024
with Quentin Batista et al.
- Copyright Protection and Accountability of
Generative AI: Attack, Watermarking and Attribution
Companion Proceedings of the ACM Web Conference, 2023
with Haonan Zhong et al.
Research projects
- Benign Overfitting in Linear Regression with Separable Variance–Covariance Structure (with Yanrong Yang and Hanlin Shang)
Privacy-preserving Record Linkage in the Presence of Missing Data using Graph Learning (with Anushka Vidanage and Thilina Ranbaduge)
Other projects
Talks and Conference
- 2025: University of Sydney, AETW 2025 (UNSW)