About Me
I am an AI Scientist (Senior Associate Consultant) at the Mayo Clinic in Rochester Minnesota, leading AI for cancer treatment efforts at the department of radiation oncology.
Previously, I was 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 research focused on using deep learning to model the dynamics of proteins.
I completed my PhD 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
Experience
January 2025 - Present, Rochester, Minnesota
AI Scientist, Mayo Clinic
Department of Radiation Oncology
Topics: Deep learning for cancer treatment
November 2022 - November 2024, Cambridge, UK
Senior Researcher, Microsoft Research AI4Science
Topics: Deep learning for molecular modelling
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
February 2022 - May 2022, London, UK
Research Scientist Intern, DeepMind
Supervisor: Dr. Michalis Titsias
Topics: Deep generative modelling, Gaussian processesJuly 2021 - October 2021, Cambridge, UK
Research Intern, Microsoft Research Cambridge
Supervisor: Dr. Sebastian Nowozin
Topics: Deep learning for simulating protein dynamicsOctober 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