Peilin Rao, a double major in Economics and Mathematics of Computation, was selected for the competitive UCLA’s 2026 URC-HASS Undergraduate Research Fellows Program. The title of the project for his fellowship is: “A Bayesian HJB Framework for Robust Monetary Policy under Structural Uncertainty”. He will work under the supervision of UCLA Professor Randall Rojas.

Peilin has already two working papers. The first one, joint with Professor Rojas, is titled “From Prediction to Causal Interpretation: A DML Case Study in Financial Economics” and is available here. Peilin recently presented it at the NeurIPS meeting, the premier conference in machine learning and computational neuroscience. The second paper is single-authored and titled “The GNN as a Low-Pass Filter: A Spectral Perspective on Achieving Stability in Neural PDE Solvers”. Peilin presented it at the Workshop on New Perspectives in Graph Machine Learning.