Modeling how diseases progress
Probabilistic and transformer-based models that recover the order in which a chronic disease changes the brain and behavior — learned from data collected at a single point in time. Led by Hongtao Hao.
Projects
AI in education — learning to direct, not just to use
Nearly every student uses AI; many programs effectively ban it. We are running a multi-year study of what actually develops when AI collaboration is taught as a skill rather than policed as a problem.
Teaching by changing the world, not the reward
How do people teach an agent that cannot be told what to do? We study teaching by physical state intervention — rearranging the environment so the learner discovers the right behavior.
A narrative introduction to probability
An in-progress tutorial that builds from set-based probability to working Bayesian nonparametric models, with interactive notebooks and probabilistic programming throughout.
SNAFU - The Semantic Network and Fluency Utility
This is a tool for generating semantic networks from fluency data