Assistant Professor (RUB) at Università degli Studi di Padova
Padua, Veneto, Italy
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Summary
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Mia Tosi is an Assistant Professor and experimental particle physicist with 12 years of research and software development experience blending academia and big-science collaborations. After a PhD from the Università di Padova, she progressed through postdoc and research roles at Padova and CERN, where she contributed to CMS offline software and specialized monitoring of tracking reconstruction. Her technical work includes back-end development for CMSSW and CMGTools—improving jet tagging, boosted b-tagging, and data-quality monitoring—demonstrating comfort with complex detector topology and analysis frameworks. Based in Padua, she combines rigorous physics expertise with practical software engineering to deliver reproducible analysis tools for high-energy physics. Colleagues value her for both meticulous code refactoring in critical repositories and for translating detector-level issues into robust monitoring and analysis solutions.
12 years of coding experience
10 years of employment as a software developer
PhD, Physics, PhD, Physics at Università degli Studi di Padova
Contributions:116 reviews, 815 commits, 254 PRs in 9 years 2 months
Contributions summary:Mia primarily contributed to the `DQM/TrackingMonitor` directory, modifying code related to the `TrackingRecoMaterialAnalyser.cc` file. Their changes involved refactoring code, fixing bugs, and formatting the code. These edits indicate a focus on data analysis and monitoring within the context of tracking reconstruction, with direct interactions with the tracker topology.
Contributions summary:Mia contributed to the CMGTools repository by adding and modifying code related to jet tagging and fat jet analysis. They implemented features involving c-tagger and boosted b-tagging, and updated variable definitions within the analysis framework. The user also fixed a dependency issue with the fwlite library and corrected a typo in a configuration file related to sample definitions. Their work primarily focused on improving the analysis capabilities and configuration of the tools within the repository.
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Mia Tosi - Assistant Professor (RUB) at Università degli Studi di Padova