Marco Musich

Applied Physicist

I am a researcher and software developer working in high-energy particle physics, with a strong focus on advanced data processing and reconstruction algorithms. My work is centered around the CMS experiment, where I contribute to the development and optimization of tracking and reconstruction software within the CMSSW framework. In particular, I am interested in improving the performance and robustness of tracking algorithms for challenging environments such as the High-Level Trigger (HLT) and future detector upgrades.

My recent work includes enhancing seeding algorithms, optimizing event reconstruction pipelines, and modernizing C++ code for better performance and maintainability. I also work on validation and monitoring tools, including DQM modules and histogram-based analyses, to ensure the quality and reliability of reconstruction outputs.

Beyond physics applications, I am broadly interested in efficient computing, parallelization (including GPU workflows), and clean software design for large-scale scientific systems. I enjoy bridging the gap between physics performance and software engineering best practices.

I am always interested in collaborations that combine physics insight with innovative computational techniques.

Fields of interest:

• High Level Trigger
• Detector Software and Performance Optimization
• Physics Event Reconstruction
• Machine Learning
• Heterogeneous Computing