Weilun's research focuses on how individuals adaptively choose different learning and decision-making strategies when facing uncertainties in a dynamic environment. He uses behavioral measures, computational models, and human fMRI to elucidate the underlying algorithmic and neural mechanisms. He completed his PhD in 2025 when he was in John O'Doherty's lab at Caltech. Weilun received his B.A. in Economics at Fudan University in Shanghai and his M.S. in Data Science at the University of Rochester in New York. Prior to beginning his PhD at Caltech he worked as a research assistant at the Neuroeconomics Lab at UC Berkeley.