Machine Learning

Designed homework assignments on multi-armed bandits and Bayesian optimization.

Designed coursework and led recitations on learning theory, generative models, and decision trees.

Designing ML pipelines for learning predictive biomarker representations from high-dimensional neural recordings, source localization via convex optimization and deep learning, and posterior inference using conditional diffusion models.