Experience, education, and technical work.

Developing safety-constrained reinforcement learning for complex-system control; investigating neural surrogates for physical forward solvers in ocean and climate models; and contributing physics-informed benchmarks to DeepHyper.

Developed a data-centric supervised learning pipeline for traffic-incident detection with quantified uncertainty.

Built a raw-traffic data and incident-matching pipeline using time-series analysis and deep learning.

Investigated local feature sufficiency for generation-dispatch prediction in power grids under contingencies.

West Lafayette, Indiana.

West Lafayette, Indiana. Thesis: *Deep Neural Network Regression and Sobol Sensitivity Analysis for Daily Solar Energy Prediction Given Weather Data*.

Jinan, China.