Pontus Ebelin is a research scientist at NVIDIA with 11 years of experience at the intersection of computer graphics, vision and deep learning, specializing in image synthesis, processing and analysis. His work ranges from real-time rendering—publishing "Temporally Dense Ray Tracing" and inventing novel sampling techniques—to using GANs and simulation to generate training data for surveillance and vision systems. He completed an industrial PhD split between NVIDIA and Lund University, blending rigorous evaluation of rendered visual experiences with practical engineering. Pontus enjoys teaching and has extensive experience as a TA and supplementary instruction leader, which informs his clear, collaborative research style. He is equally drawn to elegant mathematical tricks and pragmatic Monte Carlo methods, combining theoretical insight with production-aware implementation. Based in Sweden, he brings a rare mix of academic depth and hands-on systems experience in both graphics research and machine learning tooling.
11 years of coding experience
Engineering Mathematics, Engineering Mathematics at The Faculty of Engineering at Lund University
Exchange studies, Computer Science, Exchange studies, Computer Science at ETH Zürich
Natural Sciences, Natural Sciences at Tycho Brahe-skolan
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