I am a first year PhD student at UCL in the Centre for Artificial Intelligence, supervised by François-Xavier Briol and Marc Deisenroth.

At the moment I'm working on quantifying and improving the robustness of Gaussian process regression to outliers in the training data. Generally, I am interested in developing methodology for probabalistic modelling and inference. I am particularly excited about working on tools which are useful in the fight against climate change.

If you would like to get in touch, feel free to send me an email!

Bio

2020 -
PhD candidate in Computer Science UCL Supervised by François-Xavier Briol and Marc Deisenroth.
2019 - 2020
Research Assistant in Bayesian Deep Learning University of Oxford Oxford Applied and Theoretical Machine Learning (OATML) group, supervised by Yarin Gal
2018 - 2019
MSc in Computer Science University of Oxford Dissertation on "A comparison of uncertainty estimates for safe exploration in machine learning", supervised by Zac Kenton, Tim G. J. Rudner, Yarin Gal
2016 - 2018
Software Engineer Google Encryption of Android backup data using a client-side key, released in Android 9
2013 - 2016
BA in Computer Science University of Cambridge Dissertation on "Implementing and evaluating algebraic effect based code migration", supervised by Ohad Kammar

Research and code