Pascal Weber
Co-Founder & CEO at Manukai AG
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolPascal Weber is the Co-Founder and CEO of Manukai AG with a decade of experience at the intersection of computational science and manufacturing, focused on closing the gap between metal part design and machining. He holds a Dr. sc. from ETH Zürich in Computational Science and Engineering and was an associated doctoral student at the ETH AI Center, blending rigorous research with product-first thinking. Pascal has deep teaching and high-performance computing experience from ETH and a fellowship at Harvard SEAS, bringing clarity to complex algorithms and scalable workflows. As a founder he couples domain expertise in physics and simulations with practical insight into shop-floor needs, turning academic models into manufacturable solutions. His background in both sales-oriented roles and advanced research gives him a rare combination of customer empathy and technical rigor. Based in Zurich, he is building tools that translate sophisticated computational methods into tangible manufacturing impact.
10 years of coding experience
Fellow of the Harvard John A. Paulson School of Engineering and Applied Sciences, Fellow of the Harvard John A. Paulson School of Engineering and Applied Sciences at Harvard UniversityDoctor of Science, Computational Science and Engineering, Doctor of Science, Computational Science and Engineering at ETH Zürich
English, German, French
Github Skills (26)
optimization-methods10
uncertainty-quantification10
sampling10
uncertainty10
optuna10
reinforcement-learning9
ensembles9
parameter-estimation9
optimization9
cpp8
python8
high-performance8
openmp8
x86-648
oneapi7
Programming languages (3)
Github contributions (5)
webepasc/Migration-in-Scientific-Communities
Oct 2015 - Dec 2015
Contributions:4 PRs, 121 pushes, 1 branch in 2 months
spreadingscientific
cselab/korali
Feb 2023 - Mar 2023
High-performance framework for uncertainty quantification, optimization and reinforcement learning.
Contributions:200 reviews, 16 commits, 40 PRs in 1 month
optimization-methodspythonreinforcement-learningoptimizationuncertainty-quantification
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