Josh leads the DSM Lab at Boston University. His research explores how large datasets and machine learning can be used to automate the search for interpretable, high-precision models of human behavior. He completed his PhD at UC Berkeley as a member of the CoCoSci Lab and Berkeley Artificial Intelligence Research (BAIR) Lab and completed his postdoc at Princeton University in the Department of Computer Science.
Yan (Stella) Si is a PhD student at Boston University's Faculty of Computing & Data Sciences, where she researches at 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 BU.
Phillip's interests lie at the intersection of artificial intelligence and psychology, with a focus on decision-making and impulsivity. Before BU, he spent two years at Yale researching positive symptom progression in psychosis.
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/MA in Political Science from Utah State University, an MS in Computational Social Science from UCSD, and worked as an AI Data Scientist at Thermo Fisher Scientific.