Weinan Si is a Graduate Student Researcher and PhD candidate in physics with 10 years of hands-on experience building experimental detector systems and data-driven software for high-energy physics at Fermilab and CERN. He combines deep domain expertise in silicon pixel detectors and sensor characterization with practical software skills in C++ and Python to create real-time monitoring, alerting, and novel signal-reconstruction algorithms applied to dark matter searches and CMS operations. Comfortable leading independent projects and collaborating across large teams, he has delivered supervised learning pipelines and in-time prediction tools that bridge experimental hardware and computing workflows. Curious and design-oriented, he gravitates toward programming as a way to build tools that make complex experiments more robust and actionable, often bringing machine learning and big-data analysis into production-like monitoring systems. Based in Chicago, he leverages a rigorous academic background and extensive commissioning experience to solve interdisciplinary problems at the intersection of instrumentation and software.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of California, Riverside
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Shandong University
Contributions:1 release, 68 pushes, 7 branches in 6 months
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