Charles London, University of Oxford

Charles London

DPhil Student

Department of Computer Science
University of Oxford
Wolfson Building, Parks Road, Oxford, OX1 3QD

E-mail: charles.london"at"cs.ox.ac.uk

CV   Blog and notes




About me

I am a DPhil student in computer science at the University of Oxford, supervised by Prof. Varun Kanade. I work mainly in machine learning theory, particularly on generalization in deep neural networks. I am also interested in machine learning for mathematical reasoning.

Before starting my DPhil I spent two years at Quantinuum, working on quantum machine learning with Bob Coecke, Stephen Clark and Dimitri Kartsaklis. I no longer work on quantum computing. Prior to this I completed my MSc degree in computer science at Oxford, graduating in early 2022, with my dissertation on generalization bounds supervised by Prof. Yarin Gal. I completed my BA in computer science at the University of Cambridge, graduating in 2019. My undergraduate dissertation was supervised by Prof. Pietro LiĆ² and focused on semi-supervised machine learning methods for cancer classification.

Research

Research interests:
Learning theory, continual learning, online learning, meta-learning, deep learning, generalization.
Google Scholar profile:
Preprints and submitted papers:

Quantum Machine Learning

Conference abstracts:

Learning Theory

Quantum Machine Learning


Teaching

Departmental Tutor - Computational Learning Theory (Michaelmas 2023)