Seminar series
Date
Fri, 04 Feb 2022
Time
16:00 - 17:00
Location
L1
Speaker
Kim Moore (Faculty AI) and Sébastien Racanière (Google DeepMind)

This event will take place on Teams. A link will be available 30 minutes before the session begins.

Sebastien Racaniere is a Staff Research Engineer at DeepMind. His current main interest is in the use of symmetries in Machine Learning. This offers diverse applications, for example in Neuroscience or Theoretical Physics (in particular Lattice Quantum Chromodynamics). Past interests, still in Machine Learning, include Reinforcement Learning (i.e. learning from rewards), generative models (i.e. learn to sample from probability distributions), and optimisation (i.e. how to find 'good' minima of functions)

 

Kim Moore is a senior data scientist at faculty, which is a data science consultancy based in London. As a data scientist, her role is to help our clients across sectors such as healthcare, government and consumer business solve their problems using data science and AI. This involves applying a variety of techniques, ranging from simple data analysis to designing and implementing bespoke machine learning algorithms. Kim will talk about day to day life at faculty, some interesting projects that I have worked on and why her mathematical background makes her a great data scientist.
Please contact us with feedback and comments about this page. Last updated on 03 Apr 2022 01:32.