Teaching

Lectures:

• Part III (non-examinable) An introduction to deep learning theory: Michaelmas 2026.

Examples classes:

• Part III Topics in Statistical Theory: Michaelmas 2025.

Supervisions:

• Part IB Statistics: Lent 2026.
• Part II Mathematics of Machine Learning: Lent 2024, Lent 2025.
• Part II Principles of Statistics: Michaelmas 2023.