Yan (Stella) Si

Stella is interested in the intersection of cognitive science and AI. Her work focuses on human decision making—automating the discovery of psychological theories with LLMs, developing computational models, and building large-scale decision-making datasets. She earned her BS from Boston College in Psychology and Philosophy, and her MSDS from Boston University.

Phillip Angelos

Phillip's research bridges artificial intelligence and psychology, with a focus on theoretical and computational approaches to decision-making, particularly in adverse or maladaptive contexts. His work integrates computational modeling to better understand the cognitive and neural mechanisms underlying these processes. He received his B.S. in Psychology from MSU. Prior to joining BU, he spent two years at Yale investigating the progression of positive symptoms in psychosis using predictive models.

Jeff Hastings

Jeff's research applies machine learning and RL to better understand, explain, and improve human, artificial, and agentic decision-making. Prior to BU, he earned a BA and an MA in Political Science from Utah State University, an MS in Computational Social Science from UC San Diego, and worked as an AI Data Scientist at Thermo Fisher Scientific.

Stanley Huang

Ryan Flynn