Teaching

Harvard University · Graduate course

An introduction to artificial intelligence methods, from classical statistical models to deep learning and foundation models, with a focus on applications in medicine.

University of Oxford · Graduate course

The geometric foundations of deep learning: how symmetry and invariance connect architectures including CNNs, GNNs, Transformers, DeepSets, and LSTMs.

University of Oxford · Undergraduate course

The theoretical foundations of artificial intelligence, including Turing machines, computation, and the principles that define what intelligent systems can and cannot compute.