I previously completed my Bachelor of Arts and Masters in Engineering in Computer Science and Linguistics at Gonville & Caius College, University of Cambridge, where I obtained a Starred First (Class I with Distinction) and a Distinction (also equivalent to a starred First) respectively. Alongside teaching assistant and guest lecturer roles, I now supervise various courses in the Computer Science Tripos.
Computer Science Tripos
CST IB
| Course | Example Sheet | Official Notes | |
|---|---|---|---|
| Data Science (Damon Wischik, 2025) |
Sheet | Notes | |
| Formal Models of Language (Paula Buttery, 2025) |
Sheet | Notes |
CST II
| Course | Example Sheet | Official Notes | |
|---|---|---|---|
| Machine Learning & Bayesian Inference (Sean Holden, 2025) |
Sheet | Notes | |
| Information Theory (Robert Harle, 2025) |
Sheet | Notes |
Natural Language Syntax and Parsing
L95, a course taught in Cambridge University’s MPhil in Advanced Computer Science (ACS), covers formal methods for parsing and neural algorithms.
| Week | Topic | Course Materials |
|---|---|---|
| 1 | Dependency Parsing |
Slides | Notes Suggested Readings: Chen & Manning (2014) A Fast and Accurate Dependency Parser using Neural Networks The RASP Manual Osborne & Gerdes (2019) The status of function words in dependency grammar (negative sampling paper) </td> </tr> |
| 2 | Parsing Algorithms |
Slides | Notes | Code Suggested Readings: GloVe: Global Vectors for Word Representation (original GloVe paper) Improving Distributional Similarity with Lessons Learned from Word Embeddings Evaluation methods for unsupervised word embeddings Additional Readings: A Latent Variable Model Approach to PMI-based Word Embeddings Linear Algebraic Structure of Word Senses, with Applications to Polysemy On the Dimensionality of Word Embedding |