About

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 .

Resume

Preprints

• Optimized Auxiliary Particle Filters, Branchini, Nicola and Elvira, Víctor.

Great reads

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:
  • Probabilistic Machine Learning (Tübingen)
  • Statistical Machine Learning (Tübingen)
  • Couplings and Monte Carlo (Pierre E. Jacob, several unis)
  • Probabilistic Modelling and Reasoning (Edinburgh)
  • Advanced Topics in Statistical Machine Learning (Oxford)
  • Machine Learning and Pattern Recognition (Edinburgh)