I am a Research Assistant at the Alan Turing Institute, working within the Warwick Machine Learning Group and supervised by Dr. Theo Damoulas. Previously, I was a Master’s student in the School of Informatics at the University of Edinburgh where I was supervised by Dr. Víctor Elvira working on auxiliary particle filters. As undergrad, I studied Computer Science at the University of Warwick, where I did my BSc dissertation on reproducing AlphaZero supervised by Dr. Paolo Turrini. I am broadly interested in the intersection between Bayesian Inference & Machine Learning; particularly in scalable approximate inference for spatio-temporal models such as Gaussian processes and for modern “deep” probabilistic models, Sequential Monte Carlo, Bayesian optimization, causal inference and probabilistic graphical models .
- Optimized Auxiliary Particle Filters, Branchini, Nicola and Elvira, Víctor.
Totally worth having the physical version.
- The book of why, Judea Pearl & Dana McKenzie
- Meditations, Marcus Aurelius
- Sustainable energy - without the hot air, David McKay
- The Art of Statistics: Learning from Data, David Spiegelhalter
- Probably Approximately Correct, Leslie Valiant
Cool random stuff
- The Machine Learning Summer School videos 2009 (!)
- Ferenc Huszár’s blog
- Michael Betancourt’s blog
- CMU blog on ML
- Terence Tao’s blog
- Troubling Trends in Machine Learning Scholarship
- Cool ML/Stat courses that have public material: