Matt Staab, PhD
28 year old physicist with a passion for combining physics, materials science, and software development.
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January 2025–PresentPostdoctoral ScholarUniversity of California, Davis- Developing GPU-accelerated computational pipelines and numerical methods to extract new physical insights from ARPES data and electronic structures.
- Exploring how AI/ML and automated literature analysis can accelerate the study of materials parameters.
April 2023 - April 2024Doctoral FellowLawrence Berkeley National Lab- Built an autonomous, predictive, ML-driven control optimization system for ARPES experiments, cutting measurement requirements by ~90%.
- Increased throughput on a high-demand beamline with real-time, distributed AI/ML pipelines.
- July 2019 - December 2024Graduate Student ResearcherUniversity of California, Davis
- Applied AI/ML techniques to ARPES and XPS data to improve efficiency and reproducibility in electronic structure studies.
- Created computational tools that saved researchers hundreds of hours and enabled new directions in experimental physics.
