Summary
Jack Valmadre is a machine learning researcher with 13 years of experience applying advanced computer vision and probabilistic methods across academia, industry, and startups. He holds a PhD in computer vision and has held roles from PhD student at CSIRO to post-doc at Oxford, research scientist at Google, and senior research fellow at the Australian Institute for Machine Learning. Jack now contributes to a stealth robotics startup while also formalizing mathematics—having formalized over 100 theorems in Lean/Mathlib—showing a rare blend of practical ML engineering and formal-methods rigor. His background spans end-to-end research and product-focused work, including translating cutting-edge research into deployable systems. Based in Adelaide, he pairs deep theoretical expertise with hands-on experience in robotics and vision, often bridging gaps between proofs, models, and real-world deployments.
13 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering, Mechatronic, Bachelor of Engineering, Mechatronic at The University of Queensland
PhD, Computer vision, PhD, Computer vision at Queensland University of Technology
English, French, Italian