Machine Learning Researcher
Published in Lawrence Berkeley National Laboratory, 2020
Conducted research at the intersection of machine learning and high energy physics, developing novel computational methods for analyzing particle physics data.
Responsibilities
- Developed machine learning algorithms for unfolding and deconvolution in particle physics experiments
- Collaborated with international teams on ATLAS experiment data analysis
- Published research in peer-reviewed journals and presented at international conferences
- Mentored undergraduate researchers on machine learning projects
Technologies & Skills
- Python, TensorFlow, PyTorch, JAX
- Statistical inference and Bayesian methods
- High-performance computing on NERSC systems
- Particle physics simulation and analysis frameworks