Johannes Weidenfeller
Doctoral Fellow at ETH AI Center
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolJohannes Weidenfeller is a doctoral fellow at ETH Zurich with nine years of experience spanning applied mathematics, computer science, and machine intelligence, focused on 3D computer vision and generation for AR/VR. He holds dual M.Sc. degrees from ETH Zurich and combines theoretical rigor with hands-on systems work—developing a HoloLens 2 AR app and contributing to mesh- and surface-based 3D reconstruction under Prof. Siyu Tang and Prof. Philipp Fürnstahl. His background includes research at Google Research and a quantum computing internship at IBM, reflecting a knack for tackling computationally challenging problems across domains. Seeking a Ph.D. position aligned with 3D-from-image/video and generative 3D research, he brings both strong mathematical foundations and practical prototyping experience. An understated strength is his ability to translate advanced research into applied AR tools for clinical and real-world use cases.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at RWTH Aachen UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at ETH Zürich
English, German, Spanish, French
Github Skills (22)
variational-autoencoder10
artificial-neural-networks9
classifier9
optical-flow9
generative9
replay8
scenarios7
incremental-learning7
transfer-learning7
deep-learning6
statistics6
machine-learning5
python5
pytorch5
probabilistic-programming4
Programming languages (2)
Github contributions (5)
Johswald/learning_where_to_learn
Oct 2021 - May 2022
Contributions:1 release, 26 commits, 10 pushes in 6 months
Johswald/awesome-hypernetworks
Dec 2021 - Dec 2021
Contributions:12 commits, 9 pushes in 8 days
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