I am now hiring for Research Fellow positions in AI for cancer care at Mayo Clinic. Apply here or reach out via email.

I am an AI Scientist (Senior Associate Consultant) at the Mayo Clinic in Rochester Minnesota, where I co-direct the AI and Data Analytics (AIDA) team at the Department of Radiation Oncology. Our goal is to advance the next generation of AI in cancer care.

Previously, I was a full-time Senior Researcher at Microsoft Research Cambridge, working on deep learning for protein generative modelling as part of Microsoft’s AI for Science initiative.

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: Foong [dot] Andrew [at] mayo [dot] edu

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  January 2025 - Present, Rochester, Minnesota
  AI Scientist, Mayo Clinic
  Department of Radiation Oncology
  Topics: Deep learning for cancer care

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  November 2022 - November 2024, Cambridge, UK
  Senior Researcher, Microsoft Research AI4Science
  Topics: Deep learning for protein generative 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, Google 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