Lessons on digital citizenship, coding, debugging code, prompting AI, and analyzing AI outputs help students develop valuable ...

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

Theory of computation, particularly the connections among logic, automata and computational complexity. His current research projects involve algebraic and model-theoretic approaches to circuit ...