Antonin Sulc

Antonin Sulc, Ph.D.

Machine Learning Engineer & Computer Vision Specialist

Lawrence Berkeley National Laboratory (Starting Jan 2025)

Computer Vision Quantum Computing AI for Physics
Download CV

About

I specialize in developing AI solutions for complex scientific problems, particularly in physics and particle accelerators. With a Ph.D. in Computer Vision from Uni Konstanz and extensive experience in machine learning, I bridge the gap between academic research and practical applications.

Currently working at Lawrence Berkeley National Laboratory, I focus on developing innovative AI solutions for particle accelerator control and optimization, pushing the boundaries of what's possible in scientific computing.

Selected Publications

Towards Agentic AI on Particle Accelerators

2024 NeurIPS ML4PS

Novel approach to implementing autonomous AI agents for particle accelerator control and optimization.

arXiv:2409.06336

PACuna: Automated Fine-Tuning of Language Models

2023 NeurIPS ML4PS

Developed innovative techniques for adapting large language models to specialized particle accelerator domains.

ChatQCD: Let Large Language Models Explore QCD

2024 ICHEP

Innovative application of LLMs to explore and understand Quantum Chromodynamics.

A Data-Driven Anomaly Detection on SRF Cavities

2023 Journal of Physics

Developed machine learning approaches for detecting anomalies in superconducting radio-frequency cavities.