Probability and Statistics — Gatsby Bridging Programme
Lectures and problem-solving sessions in probability and statistics for the Gatsby Bridging Programme.
Academic Service
Teaching, peer review, and mentoring at UCL and in the wider machine learning community.
Teaching
COMP0085: Approximate Inference and Learning in Probabilistic Models
Graduate course covering approximate Bayesian inference and probabilistic machine learning.
COMP0083: Advanced Topics in Machine Learning — Kernel Methods
Graduate course on reproducing-kernel Hilbert spaces, kernel methods and their statistical foundations.
Reviewing
Conferences
Reviewer for AISTATS, ICML, and NeurIPS. Recognised as an ICML 2026 Gold Reviewer.
Journals
Reviewer for Transactions on Machine Learning Research (TMLR) and Statistics and Computing.
Mentoring & Supervision
Zaman Keinath-Esmail
Supervised her thesis for the MSc in Machine Learning. Now a PhD student at the Gatsby Computational Neuroscience Unit, UCL.
Melina Laimon
Career mentoring before and during her time at Gatsby, and as she planned her next steps. Now at Mistral.