Research
My research interest lies in deep learning, statistical learning, high-performance computing, and data-driven computational social science -- especially their intersections with economics and finance.
Here is a list of published and working projects and papers
Published
- QuantEcon.py: A community-based Python library for quantitative economics in The Journal of Open Source Software
- Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution in Companion Proceedings of the ACM Web Conference 2023
Research Projects
- Benign Overfitting in Linear Regression with Separable Variance–Covariance Structure (with Dr Yanrong Yang and Dr Hanlin Shang)
Privacy-preserving Record Linkage in the Presence of Missing Data using Graph Learning (with Dr Anushka Vidanage and Dr Thilina Ranbaduge)