Eren Sezener is a research engineer at DeepMind with 13 years of experience at the intersection of machine learning, AI and computational neuroscience. He combines strong academic training in computational neuroscience and computer science with practical ML and product experience, having built models for image quality assessment at KAYAK and forecasting systems earlier in his career. His research background includes work on valuing computations in planning under Peter Dayan at UCL and applications of inverse reinforcement learning to biological and robotic systems. Eren has a track record of turning theoretical ideas into working systems, from real-time robot control toolboxes to heuristic solvers for Boolean classification. Based in London, he brings both deep research instincts and product-oriented engineering skills to applied AI problems. Colleagues will find he blends neuro-inspired perspectives with hands-on model implementation and deployment.
13 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science, 3.97, Bachelor’s Degree, Computer Science, 3.97 at Özyeğin University
Master’s Degree, Computational Neuroscience, Master’s Degree, Computational Neuroscience at Technische Universität Berlin
Bachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Boğaziçi Üniversitesi
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