Charles Westphal
Ph.D. Candidate in Computer Science
University College London
M.Sc. in Physics – University of Leeds
MChem in Chemistry – University of Manchester
About Me
I am a Ph.D. candidate at University College London where my research focuses on:
- Multivariate Information Theory
- Feature Selection, Engineering, and Interpretation
- Reinforcement Learning
- Variational Inference
My research is fundamentally motivated by multivariate information theory, which provides a robust theoretical framework for understanding complex data interactions. While this deep-rooted theory drives the core principles of my work, the methods developed are broadly applicable to various AI applications. In practice, they can be leveraged in areas such as feature selection, interpretability, and model pruning, making the approach both theoretically rich and widely useful.