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Barbara Skrzypek
Senior Research Scientist specializing in physics, machine learning, and scientific computing
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About
Research-oriented ML engineer/scientist with deep experience applying generative models, adaptive optimization, and HPC infrastructure to complex physics analyses. Built reusable Python-based tools that replaced expensive Monte Carlo workflows, integrated across HTCondor/SLURM environments, and reduced analysis timelines by 2x while supporting broader team adoption and training.
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Key Strengths
- Built end-to-end ML pipeline for scientific analysis
- Cut analysis timeline by 2x through generative modeling and adaptive search
- Strong expertise in generative modeling for simulation replacement
- Scalable GPU/HPC implementation across HTCondor and SLURM
- Rigorous model evaluation using KL-divergence and downstream analysis consistency checks
- Translated research methods into reusable tools for broader scientific teams
- Balanced speed and bias tradeoffs in uncertainty reweighting design
- Improved team collaboration through shared environments, testing, and documentation
- Cross-functional collaboration with astrophysicists on simulation software integration
- Mentored a graduate student on model usage and improvement
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Experience
Education
Awards
Skills
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Publications
3 publications
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