K. Pedro

K. Pedro works in experimental particle physics, focusing on the CMS experiment at the Large Hadron Collider (a major particle detector). Much of the recent work involves using machine learning and detector simulation techniques to speed up and improve how particle collisions are modeled and analyzed, including applications to searches for dark matter candidates like semivisible jets and dark QCD (a hypothesized 'dark' sector with its own strong force). The research also touches on applying similar machine-learning methods to other large physics datasets, such as galaxy classification and neutrino detector data.

Publication counts declined from a high in 2017 to a low around 2020-2021, then rose again through 2023-2024, suggesting a dip followed by a recovery in activity over the past decade.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026