معرفی
Marc Osherson is an Assistant Professor in the Department of Physics & Astronomy at the University of Notre Dame. His research focuses on analyzing high-energy proton-proton collisions at CERN's Large Hadron Collider (LHC), particularly using the CMS Detector. His work emphasizes reconstructing signatures of exotic new physics, such as hypothetical particles decaying through multiple intermediate states, and developing 'big data' techniques and machine learning tools to process massive LHC datasets. He is also involved in optimizing the use of 'scouting' datasets—partially reconstructed events used to decide which full events to retain—to uncover hidden phenomena. As a member of the CMS Collaboration, he contributes to detector maintenance and upgrades for future LHC runs.
Education:
- Princeton University, B.A., 2010
- Johns Hopkins University, Ph.D., 2016
Research interests include:
- Collider-based searches for beyond Standard Model physics
- Machine learning applications in particle physics
- Data analysis and optimization techniques
- Detector development and upgrades
Recent articles emphasize resonance searches, diphoton signatures, vector-like quarks, and Higgs boson studies. His work bridges theoretical predictions with experimental challenges, leveraging cutting-edge computational methods to handle the LHC’s vast data output.
Scientific awards: No specific honors listed in available texts.
