Michael Tschannen
Research Scientist at Google DeepMind
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolMichael Tschannen is a research scientist specializing in machine learning and computer vision with nine years of experience building representation learning, generative models, and learning-based compression systems. He has held research roles at Google Research/Brain and Google DeepMind and product-facing ML engineering experience at Apple, blending deep academic rigor from a PhD at ETH Zürich with industry-scale problem solving. His work focuses on learning visual representations from unlabeled or weakly labeled large-scale data such as video, and he often integrates ideas from signal processing and high-dimensional statistics into generative and compression models. A recurring theme in his career is translating theoretical insights into practical methods that reduce bitrate or compute while preserving perceptual fidelity—a skill first honed in internships and research projects dating back to medical imaging and wireless signals. Based in Zurich, he maintains an active publication record and welcomes collaboration that bridges foundational research and application.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BSc) Electrical and Electronics Engineering, Bachelor of Science (BSc) Electrical and Electronics Engineering at EPFLDoctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at ETH Zürich
Github Skills (31)
mlp10
mixer9
opencl8
metal8
lit8
cpu8
tvm7
javascript7
gpu-programming7
machine-learning7
gpu7
deep-learning7
computer-vision7
vulkan7
transformer6
Programming languages (2)
Github contributions (5)
mitscha/mitscha.github.io
May 2019 - May 2024
Contributions:14 pushes, 1 branch in 5 years
mitscha/ssc_mps_py
Jan 2017 - Apr 2019
Contributions:2 commits, 1 push, 1 branch in 2 years 4 months
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