Mark Fuge
Professor at ETH Zürich
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolMark Fuge is Full Professor and Chair of Artificial Intelligence in Engineering Design at ETH Zurich, bringing 14 years of academic and industry experience at the intersection of mechanical engineering, design, and AI. He built a research program spanning web-scale customization, crowdsourced innovation, and machine learning-driven design synthesis during a PhD at UC Berkeley and faculty roles at University of Maryland. His work blends rigorous computational methods—probabilistic design rules, network prediction, and visualization—with hands-on prototype systems from AR interfaces to scalable recommendation engines. Colleagues and students know him for translating complex design problems into practical AI tools that improve product sustainability and creativity. He maintains an active publication record and lab portfolio demonstrating both theoretical depth and applied impact. Unusually for a chair-level academic, he pairs deep engineering roots (earlier GE and CMU projects) with front-line web and UI prototyping experience.
14 years of coding experience
11 years of employment as a software developer
Ph.D., Mechanical Engineering, Ph.D., Mechanical Engineering at University of California, BerkeleyMasters & Bachelors of Science, Mechanical Engineering, Masters & Bachelors of Science, Mechanical Engineering at Carnegie Mellon University
Github Skills (10)
generative7
inverse6
deep-learning3
h2o3
benchmarking3
benchmark3
pytorch3
monitoring3
garden2
system-monitoring2
Programming languages (3)
Github contributions (5)
IDEALLab/ideallab.github.io
Aug 2017 - Dec 2022
IDEAL Lab website repository
Contributions:1 review, 88 commits, 14 PRs in 5 years 5 months
ideallablab-website
markfuge/scalable-collaborative-filtering
Apr 2012 - Aug 2015
Contributions:14 commits, 4 pushes, 3 comments in 3 years 4 months
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