معرفی
Joe Austerweil is an Associate Professor in the Department of Psychology at the University of Wisconsin-Madison. His research focuses on computational models of decision-making, learning, and knowledge representation, leveraging advances in computer science and statistics. He leads the Austerweil Laboratory, which investigates how people construct flexible feature representations and make decisions using semantic networks. His work bridges cognitive psychology and machine learning through empirical studies and theoretical modeling.
He has contributed to open-source projects like the snafu-py library for semantic network analysis and maintains repositories for Bayesian modeling tools. Recent professional activities include planning to co-found a new Design and Science graduate school at Chiba Tech in Japan starting June 2025.
Key research interests include semantic fluency, nonparametric Bayesian inference, and the application of optimal foraging theory to human cognition. His empirical work combines online and laboratory experiments to validate computational predictions, with notable publications in journals like Psychological Review and Cognitive Psychology.
