Courses, summer schools, and open teaching materials.
Spring 2026 · Chiba Tech SDS
The studio course where students work real problems — Bayesian inference, debugging a reinforcement learning agent, designing a cooperating agent — with AI as a working partner, and articulate what that partnership actually is.
Spring 2026 · Chiba Tech SDS
Graduate course on how humans and machines learn — generalization, Monte Carlo approximation, MCMC, and reinforcement learning, with hands-on assignments.
2025 · COSMOS Summer School
Co-instructed at the COSMOS summer school and led a six-student project on teaching by state intervention.
Ongoing
An open tutorial building from set-based probability to Bayesian nonparametric models, with interactive notebooks.
