Teaching

Lecturer — MLMI Seminar Series

Delivered three lectures on:

• Memory profiling and training efficiency for ML
• Distributed training
• Foundation model serving and efficient inference

Lecturer — Girls Who ML

Delivered two lectures on classification and transformer architecture for the Girls Who ML community.

Teaching Assistant — Deep Neural Networks

Set code workbooks and test questions, marking, and held office hours for the undergraduate course.

Teaching Assistant — EEML

Assisted with tutorials on Large Language Models, Reinforcement Learning, and Computer Vision at the Eastern European Machine Learning (EEML) Summer School.

Lead Author — From Centralised to Decentralised Training: Federated Learning

Lead author of a federated learning practical session developed in collaboration with Harsha and Luca, available on GitHub and via the DLI curriculum page.

Tutorial Leader — N-gram Language Modelling Tutorial

Delivered a tutorial on language modelling using n-gram models. Watch tutorial →

Teaching Material — Smol and Ultra-Scale Training

A deep dive into HuggingFace's smol and ultra-scale training playbooks, covering key systems and theory concepts in machine learning. Watch sessions →