This section introduces topics I explored in Advanced Machine Learning.

• Study on generative diffusion models (for Advanced Machine Learning class project, fall 2023) - Diffusion Model

• Talk on learning spatio-temporal solutions to PDEs (for High-Dimensional Time-Series class talk, spring 2024) - HDTS talk

• Addressing distribution shift in real-time bidding markets (2023 Summer internship project) - Link

• Poster on spatio-temporal analysis of particulate matter data based on the quantile factor model (presented at CSP 2021 conference)