Tim De Bruin is a deep learning scientist with a decade of experience applying state-of-the-art ML to real-world problems, currently focused on efficient binary neural networks at Plumerai in London. He holds a strong academic foundation from TU Delft, where his PhD work on deep reinforcement learning for robotics led to papers in top journals and invited talks at institutes like Max Planck and Bosch AI. Tim blends research rigor with deployment-minded engineering, bridging topics from CNN-based affordance detection to energy-efficient model design. He has supervised and taught MSc/BSc students and contributed to international conferences, demonstrating both mentorship and communication strengths. Based in Amsterdam, he brings a pragmatic, skeptical perspective on ML capabilities while pushing practical advances in compact, performant models.
10 years of coding experience
TU Delft
Bachelor of Science (BSc), Mechanical Engineering, Bachelor of Science (BSc), Mechanical Engineering at Technische Universiteit Delft / Delft University of Technology
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