Kilian Lieret
Research Software Engineer at Princeton University
New Jersey, United States
Summary
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Rockstar🎓
Top SchoolKilian Lieret is an AI research scientist with 11 years of experience building research-grade software and machine learning systems, currently focused on Meta’s Superintelligence efforts after a multi-year research engineering stint at Princeton. He has a strong physics and math foundation (BSc and MSc from LMU München, exchange at Nagoya) and a track record of applying graph neural networks and de-biasing techniques to high-energy physics problems. At Princeton he built SWE-agent, an agentic AI that autonomously tackles GitHub issues and benchmarks SWE-Bench, bridging research and practical developer tooling. His contributions to HEP software include back-end tooling and event database improvements that enabled training schools and more robust site automation—an example of his habit of turning research code into maintainable infrastructure. Comfortable moving between simulation physics, ML research, and production software, he brings both deep domain knowledge and a knack for making complex systems reliably useful.
11 years of coding experience
5 years of employment as a software developer
Ludwig Maximilian University of MunichMaster of Science (M.Sc.), Elite Master Program Theoretical and Mathematical Physics, Master of Science (M.Sc.), Elite Master Program Theoretical and Mathematical Physics at Ludwig-Maximilians Universität München, Technische Universität MünchenNagoya University Program of Academic Exchange, Physics, Mathematics, Nagoya University Program of Academic Exchange, Physics, Mathematics at Nagoya University
German, English, Japanese
Github Skills (5)
python10
yaml10
software-design7
co7
computation6
Programming languages (20)
Github contributions (5)
HSF/hsf.github.io
Jan 2020 - Jan 2023
HEP Software Foundation GitHub website
Role in this project:
Back-end Developer
Back-end DeveloperContributions:91 reviews, 179 commits, 299 PRs in 3 years
Contributions summary:Kilian primarily contributed to a Python script and associated event database for a website. Their work involved implementing the Event class to manage events, including parsing dates and adding events to the database. They also focused on fixing and refactoring the script, adding error handling and improving code organization, including the introduction of url_proof_ignore and making sure links work. These modifications facilitated the addition of training schools.
hepfoundationcomputing
hsf-training/hsf-k12-python-for-stem-teachers
Aug 2020 - Oct 2024
Programming for STEM Teachers Workshop repository
Contributions:16 PRs, 13 pushes, 24 branches in 4 years 2 months
stempythonworkshopmachine-learningcompetitive-programming
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