Taoli Cheng

Postdoctoral Researcher at Mila - Quebec Artificial Intelligence Institute

Montreal, Quebec, Canada
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Summary

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Taoli Cheng is an interdisciplinary postdoctoral researcher based in Montreal with 11 years of experience applying machine learning to fundamental physics problems. At Mila and Université de Montréal he develops physics-informed neural architectures, generative models for event simulation, and anomaly-detection methods that accelerate scientific discovery, building on prior analysis consulting at CERN. Trained as a theoretical physicist (PhD) and with research stints at Max Planck and the Chinese Academy of Sciences, he combines deep domain knowledge with practical ML engineering. His work emphasizes interpretability and explainability, making complex models more trustworthy for experimental workflows. Less obvious: he bridges high-energy physics and ML production needs, translating research prototypes into tools usable by large collaborations.
code11 years of coding experience
job4 years of employment as a software developer
bookTheoretical Physics, Theoretical Physics at Max Planck Institute for Physics
bookDoctor of Philosophy - PhD, Theoretical Physics, Doctor of Philosophy - PhD, Theoretical Physics at Chinese Academy of Sciences
bookBachelor's degree, Applied Physics, Bachelor's degree, Applied Physics at East China University of Science and Technology
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Programming languages (1)

Python

Github contributions (5)

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taolicheng/VAE-Jet

Apr 2020 - Mar 2021

Contributions:37 commits, 2 PRs, 37 pushes in 1 year
taolicheng/DL4Physics

Feb 2017 - Jun 2019

Contributions:49 commits, 48 pushes, 1 branch in 2 years 4 months
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Taoli Cheng - Postdoctoral Researcher at Mila - Quebec Artificial Intelligence Institute