Hi! I am a Ph.D. student in the School of Computing at UConn, advised by Dr. Dongjin Song.

My research focuses on developing generalizable and interpretable deep learning methods for time series analysis, spanning multi-modal data, general-purpose models, and real-world learning constraints. I work closely with leading research institutions and industry partners, including NEC Labs America, Morgan Stanley, and Mayo Clinic.