Matthew Jackson is a PhD student and researcher in generative models for synthetic agent training at the University of Oxford, currently working on open-endedness research with DeepMind's Genie team. With eight years of industry experience and internships across DeepMind, Wayve, Amazon Alexa, Arm, and computer vision startups, he blends hands-on systems implementation with rigorous ML research. His background includes an MSc in Machine Learning from UCL and a BA in Computer Science from Cambridge, underpinning strong foundations in both theory and applied engineering. Matthew has contributed to neural network inference tooling and world-models research, and has practical experience ranking NLG outputs and optimizing inference on Arm hardware—skills that bridge research prototypes and production systems. Notably, he pursues projects that couple generative modeling with agent training, aiming to scale synthetic environments for robust, open-ended learning.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Engineering Science, Doctor of Philosophy - PhD Engineering Science at University of Oxford
Bachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at University of Cambridge
Secondary School and Sixth Form, Secondary School and Sixth Form at Trent College
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Matthew Jackson - Student Researcher at Google DeepMind