Lorenzo Noci

Member Of Technical Staff at OpenAI

Switzerland
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Summary

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Senior
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Top School
Lorenzo Noci is a machine learning researcher and software engineer with eight years of experience and a strong focus on Bayesian inference and uncertainty estimation. He holds advanced degrees from ETH Zürich and Politecnico di Milano and has worked across Shanghai, Zurich and Luxembourg, contributing to both academia and industry. His recent roles include Applied Scientist at Amazon, a visiting PhD stint at Princeton ORFE, a brief research role at Apple, and a current Member of Technical Staff position at OpenAI, reflecting a trajectory from production ML systems to cutting-edge research. Lorenzo combines practical data engineering skills—processing hundreds of gigabytes with Python, Spark and Snakemake—with deep ML expertise from his PhD work, making him effective at turning probabilistic research into deployable solutions. An international profile and hands-on background in parsing and monitoring large cluster logs hint at an unusual blend of low-level systems fluency and probabilistic modeling.
code8 years of coding experience
job3 years of employment as a software developer
bookBachelor's degree, Information Technology, Bachelor's degree, Information Technology at Tongji University
bookTsinghua University Big Data Summer School, Tsinghua University Big Data Summer School at Tsinghua University
bookMaturità scientifica, Maturità scientifica at Liceo Scientifico Amedeo di Savoia Duca d'Aosta
bookBachelor, Computer Science and Engineering, Bachelor, Computer Science and Engineering at Politecnico di Milano
bookDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at ETH Zürich
languagesItalian, English, Chinese
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Github Skills (4)

fine-tuning2
transformer-models2
transformers1
python1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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lorenzonoci/asset_management

Oct 2019 - Nov 2020

Contributions:1 push in 1 year 1 month
lorenzonoci/google-research

Jan 2022 - Jan 2022

Google Research
Contributions:11 pushes in 16 days
google
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