Teaching

Neuro Computation: a BSc course covering the computational properties of neurobiological systems and how to design spiking neural networks using mixed-signal “neuromorphic” electronic circuits.

Fundamentals of Machine Learning: a BSc course that covers the basics of machine learning, including linear classification and regression, support vector machines, random forests, and neural networks.

Bayesian Machine Learning & Information Processing: a MSc course that covers the fundamentals of the Bayesian (i.e., probabilistic) approach to machine learning and information processing systems.