Pedro B. C is a Senior Researcher based in Tokyo with nine years of experience at the intersection of machine learning, materials science, and experimental automation. He holds a PhD from the University of Tsukuba where he led data-driven design of magnetic materials for cryogenic hydrogen liquefaction, and has since focused on accelerating lab workflows through automated analysis tools. At Hitachi he applied RAG and LLM techniques to business processes and now advances research efficiency by building reproducible pipelines like XERUS, an open-source solution that automates powder X-ray diffraction analysis. Combining physics, materials engineering, and computer science training, he uniquely bridges experimental know-how with ML-driven tooling to shorten the cycle from synthesis to insight.
8 years of coding experience
5 years of employment as a software developer
Computer Science, Computer Science, Computer Science, Computer Science at Universidade Federal Fluminense
Master of Science - MS, Condensed Matter and Materials Physics, Graduate, Master of Science - MS, Condensed Matter and Materials Physics, Graduate at Federal University of Rio de Janeiro
Doctor of Philosophy - PhD, Materials Science and Engineering, Doctor of Philosophy - PhD, Materials Science and Engineering at University of Tsukuba
Streamlit interface for XRay Estimation Using Refinement and Similarity (XERUS)
Contributions:14 PRs, 24 pushes, 13 branches in 29 days
pythonrefinementsimilaritystreamlitestimation
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