Teaching & Supervision

University of Cambridge

I lecture on machine learning for the MPhil in Population Health programme:

• Lecturer for Introduction to Machine Learning, MPhil in Population Health, Lent Term 2026.
• Lecturer for Applied Machine Learning, MPhil in Population Health, Easter Term 2026.

I also supervise undergraduates in Physics as part of the Cambridge supervision system:

• Supervisions for Natural Sciences Tripos — Physics Part I.
• Supervisions for Natural Sciences Tripos — Physics Part II.

ETH Zürich

At ETH Zürich I was involved in a range of teaching activities:

Lectures

• Lecturer for Image Processing for Physical Scientists (Machine Learning), EXCITE Summer School. Created and delivered lectures and supervised student workshops on machine learning applications.

Courses

• Participated in the Medical Imaging course; assisted with examinations and corrections.

Teaching Assistantships

• Physics I & II
• High Performance Computing
• Python Programming
• Computational Methods in Physics

MSc & Semester Project Supervision

Supervised over 20 students across multiple departments. Topics included:

• Novel generative modelling methods, including Diffusion models and Neural ODEs.
• Analysis and experimentation on generative and other models.
• Modern medical image reconstruction, segmentation, and synthesis.
• Quantum machine learning and computational physics.

Conference & Workshop Organisation

• Co-organiser, MIDL 2022 — Medical Imaging with Deep Learning, Zürich, Switzerland