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In this episode, our guest is Prof. Dr. Vincent Sitzmann, Assistant Professor at the Massachusetts Institute of Technology, in Cambridge, where he leads the Scene Representation Group at MIT's Computer Science and Artificial Intelligence Laboratory.

We talk about his research vision. And we talk about his path graduating from the Technical University of Munich with a bachelor's degree in electrical engineering, moving to Stanford for his Master's degree in computer science, becoming a PhD student at Stanford in electrical engineering, and rising to prominence as a world-leading scientist in his field of computer vision.

We find out about some of the key moments along that path and about his and his groups' most recent breakthrough, published in Nature, the world's most prestigious journal for scientific research, inspiring the future of cost-effective and ubiquitous robotics.

And we learn about the people, culture, and conditions needed for trailblazing research as he experienced it in Stanford and fosters it in his group at MIT.

Interviewed by Mohamed Kari (mkari.de).