I am a full-time Senior Researcher at Microsoft Research Cambridge, working on deep learning for molecular modelling as part of the AI4Science initiative. Our goal is to drive major advances in science through the use of machine learning. My current research focuses on using deep learning to model the dynamics of proteins.

Previously, I was a PhD student in the Machine Learning Group at the University of Cambridge, supervised by Professor Richard E. Turner. My research focused on probabilistic modelling and deep learning, with work on Bayesian neural networks, meta-learning, equivariant models, and PAC-Bayes.

You can find a list of selected publications here. For a full overview, see my Google Scholar page.

Contact: andrewfoong [at] microsoft [dot] com

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  November 2022 - Present, Cambridge, UK
  Senior Researcher, Microsoft Research AI4Science
  Topics: Deep learning for molecular modelling

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  October 2018 - November 2022, Cambridge, UK
  PhD in Advanced Machine Learning, Machine Learning Group, University of Cambridge
  Supervisor: Professor Richard E. Turner
  Topics: Probabilistic modelling, deep learning, Bayesian deep learning, meta-learning, equivariance, PAC-Bayes

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  February 2022 - May 2022, London, UK
  Research Scientist Intern, DeepMind
  Supervisor: Dr. Michalis Titsias
  Topics: Deep generative modelling, Gaussian processes

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  July 2021 - October 2021, Cambridge, UK
  Research Intern, Microsoft Research Cambridge
  Supervisor: Dr. Sebastian Nowozin
  Topics: Deep learning for simulating protein dynamics

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  October 2014 - July 2018, Cambridge, UK
  BA and MEng in Information and Computer Engineering, University of Cambridge
  First class honours with distinction, scored top 1-2% in first three years