Probably Approximately Wrong

An infrequent blog, by Nicola Branchini


This very infrequent blog is by me, Nicola Branchini.
I am a graduate researcher in Statistics in the School of Mathematics at the University of Edinburgh, advised by Dr. Víctor Elvira.

I am interested broadly in methodology surrounding efficient uncertainty quantification, statistical decision making, probabilistic reasoning, computational statistics. More specifically, I am interested in methods for (possibly adaptive) Importance Sampling, experimental design, and causal inference.
A link to my resume

I like collaborating with people. If you do research in very related topics, feel free to drop me an email. Some specific topics I am studying now are:

In terms of applications, in the future I would be very excited to work on accelerating science (chemistry, biology,physics, neuroscience, etc.) using our familar tools of probabilistic (and causal) modelling.




Talks & Posters


Some background

Previously, I was a Research Assistant at the Alan Turing Institute, working within the Warwick Machine Learning Group and supervised by Prof. Theo Damoulas. Previous to that, 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.

Nice reads

Worth having the physical version.