About Me
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. You can find my research page here.
Previously, I was a full-time senior researcher at microsoft research in Cambridge, UK, working on deep learning for protein generative modelling as part of Microsoft’s AI for Science initiative.
I completed my ph.d. in machine learning 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 generalization theory.
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
Hiring News
I am now hiring for Research Fellow positions in AI for cancer treatment at Mayo Clinic. Apply here or reach out via email.
Experience
ai scientist, mayo clinic
January 2025–Present, Rochester, Minnesota, USA
Department of Radiation Oncology
Topics: Deep learning for cancer treatment
senior researcher, microsoft research
November 2022–November 2024, Cambridge, UK
AI for Science
Topics: Deep learning for protein generative modelling
ph.d. in machine learning, university of cambridge
October 2018–November 2022, Cambridge, UK
Computational and Biological Learning Lab (CBL)
Supervisor: Professor Richard E. Turner
Thesis: Approximate inference in Bayesian neural networks and translation equivariant neural processes
research scientist intern, google deepmind
February 2022–May 2022, London, UK
Supervisor: Dr. Michalis Titsias
Topics: Deep generative modelling, Gaussian processes
research intern, microsoft research cambridge
July 2021–October 2021, Cambridge, UK
Supervisor: Dr. Sebastian Nowozin
Topics: Deep learning for simulating protein dynamics
b.a. & m.eng. in information and computer engineering, university of cambridge
October 2014–July 2018, Cambridge, UK
Department of Engineering
First class honours with distinction, scored top 1–2% in year group