Physics · Machine Learning · CMS Experiment
Yutong Ren
Physics undergraduate at Peking University
I work on experimental high-energy physics and machine learning. My current research focuses on searches for generic BSM resonances in CMS data.
Research
I am interested in experimental high-energy physics and in machine-learning methods that make particle-physics analyses more sensitive, reliable, and interpretable.
As a research student in the PKU CMS Group, I work on searches for new resonant states in CMS. I use Python, PyTorch, ROOT, and the weaver framework to study boosted-object identification and to build reproducible analysis workflows. I also work with background estimation, control-region validation, and large-scale inference over distributed computing resources at IHEP and CERN.