Teaching

Experimental seminar course on the design and development of AI agents, spanning historical and contemporary perspectives, fundamental and applied aspects.

Introduction to human-computer interaction. Covers perception and motor control, cognitive models, experimental methods, and much more.

Introduction to machine learning and statistical data analysis, covering topics like supervised and unsupervised learning, regression, classification, clustering, and more.

Experimental seminar course on the intersection of human-centered design and generative AI.