Antonin Sulc, Ph.D.
AI for Autonomous Particle Accelerators
Lawrence Berkeley National Laboratory
Download CV
AI for Autonomous Particle Accelerators
Lawrence Berkeley National Laboratory
Download CVI am a Researcher at Lawrence Berkeley National Laboratory (LBNL) developing intelligent algorithms and autonomous control systems for large-scale scientific infrastructure. My work bridges large language models, agentic systems, and high-energy physics to enable self-optimizing operations in safety-critical environments.
Previously a Senior Data Scientist at the Helmholtz Association (DESY/XFEL), I pioneered the use of domain-specific language models in scientific contexts. Holding a Ph.D. in Computer Vision from the University of Konstanz, I actively apply the mathematical rigor of high-dimensional signal processing to extract actionable insights from the complex, multi-modal machine states of modern particle accelerators.
A scikit-learn style Python library providing a geometric approach to learning composable, highly interpretable representations of discrete event sequences.
A framework introducing Differentiable Modal Logic for PyTorch—enabling the training of Modal Logical Neural Networks (MLNNs).
A scalable, production-ready framework for orchestrating agentic AI in safety-critical facility operations. Deployed successfully at the Advanced Light Source.
Automated data collection and fine-tuning pipelines designed to adapt Large Language Models securely to the complex domains of particle accelerators.
A. Sulc
arXiv preprint, 2026
A. Sulc
arXiv preprint, 2026
T. Hellert, D. Bertwistle, S. C. Leemann, A. Sulc, M. Venturini
Physical Review Research, 2026
T. Hellert, J. Montenegro, A. Sulc
APL Machine Learning, 2026
A. Sulc
NeurIPS ML4Physics Workshop, 2025
A. Sulc, T. Hellert, A. Reed, A. Carpenter et al.
16th International Particle Accelerator Conference (IPAC'25)
A. Sulc, P. Connor
EPS-High Energy Physics, 2025
A. Sulc, P. Connor
42nd International Conference on High Energy Physics (ICHEP 2024)
A. Sulc, T. Hellert, R. Kammering, H. Hoschouer, J. St. John
NeurIPS ML4Physics Workshop, 2024
A. Sulc, G. Hartmann, J. Maldonado, V. Kain et al.
15th International Particle Accelerator Conference (IPAC'24)
A. Sulc, R. Kammering, A. Eichler, T. Wilksen
NeurIPS ML4Physics Workshop, 2023
A. Sulc, A. Eichler, T. Wilksen
IET Information Security, 2023
S. Ishihara, A. Sulc, I. Sato
IEEE International Conference on Image Processing (ICIP), 2019
S. Ishihara, A. Sulc, I. Sato
Journal of the Optical Society of America A, 2021
O. Johannsen, A. Sulc, B. Goldluecke
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016