Andrew Jesson is a machine learning researcher and technical staff engineer with a strong academic foundation (DPhil, University of Oxford) and five years of industry and postdoctoral experience focused on medical AI and computer vision. His work spans hands-on scientific software development, program management, and research roles at Imagia, Columbia University, Meta, and now TensorZero, with a consistent thread of improving cancer patient care through ML. He combines deep technical skills in medical imaging and deep learning with an ability to translate research into product R&D and scalable experiments. Notably, his experience ranges from building computational frameworks for clinical deep learning to contributing to high-impact research environments at Oxford and OATML. Based in New York, he brings both academic rigor and practical engineering chops to bridge research and production in healthcare AI.
5 years of coding experience
6 years of employment as a software developer
DPhil, Computer Science, DPhil, Computer Science at University of Oxford
Bachelor’s Degree, Philosophy, Bachelor’s Degree, Philosophy at Concordia University
Master’s Degree, Computer Vision, Master’s Degree, Computer Vision at McGill University
Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
Contributions:59 commits, 18 PRs, 28 pushes in 1 year 9 months
hiddencausalindividualestimates
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