Vinicius Mikuni
Associate Professor
Nagoya, Japan
Summary
👤
Senior🎓
Top SchoolVinicius Mikuni is an Associate Professor and machine learning researcher specializing in applying deep learning to natural sciences, based in Nagoya with eight years of experience. His work focuses on generative models that replace expensive simulators, anomaly detection for new physics, collider-optimized network architectures, and likelihood-free inference. He combines a PhD in Elementary Particle Physics from the University of Zurich with hands-on postdoctoral research at Berkeley Lab, bridging theoretical physics and practical ML. Known for translating physics-driven constraints into novel architectures, he emphasizes scalable approaches that accelerate scientific discovery. Vinicius is passionate about data science and the interplay between natural sciences and deep learning, often targeting problems where computational cost and interpretability matter most.
8 years of coding experience
Doctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at University of ZurichUniversity of São Paulo
English, Portuguese
Github Skills (11)
particle-physics8
particle7
lpc7
latex7
forum5
physics5
machine-learning5
bids5
git3
outlier-detection3
anomaly-detection3
Programming languages (5)
Github contributions (5)
ViniciusMikuni/CaloScore
Jun 2022 - Jan 2023
Contributions:1 release, 10 commits, 8 pushes in 7 months
ViniciusMikuni/H1Unfold
Sep 2023 - Mar 2025
Contributions:3 reviews, 6 PRs, 24 pushes in 1 year 6 months
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