Summary
Jack Parker-holder is an Honorary Associate Professor and Research Director at DeepMind with nine years of experience at the intersection of machine learning research and applied quantitative systems. He leads world-models and Genie 3 efforts, teaches open-endedness and general intelligence at UCL, and pursues designs aimed at continuously generating novel behaviors—ambitiously hinting at AGI. His background spans rigorous academic training (DPhil, Oxford; MA QMSS, Columbia; BSc Mathematics) and quant finance roles at JPMorgan, giving him a rare blend of theoretical depth and production-focused, risk-aware engineering. He has worked on open-ended learning projects at Meta and maintains a public research presence via jparkerholder.github.io. Colleagues describe him as someone who thinks like a scientist but ships like an engineer, applying probabilistic and reinforcement-learning methods to scalable systems.
9 years of coding experience
7 years of employment as a software developer
CFA Charterholder, CFA Charterholder at CFA Institute
DPhil, Engineering Science, DPhil, Engineering Science at University of Oxford
Master of Arts (M.A.), QMSS, Master of Arts (M.A.), QMSS at Columbia University
BSc (Hons), Mathematics, BSc (Hons), Mathematics at University of Exeter