Tong Pang

Tong Pang is a Part-Time Lecturer at the University of Pittsburgh's Dietrich School of Arts and Sciences, Department of Physics & Astronomy. His research focuses on searching for new physics beyond the Standard Model through precise measurements of CP asymmetries and rare decays involving heavy b quarks at the Belle I & II experiments. He also contributes to the Time of Propagation (TOP) particle identification system of the Belle II detector and explores machine learning techniques to enhance signal-background separation in rare decay analyses.

• Education: PhD in Physics (2021) from the University of Pittsburgh, advised by Vladimir Savinov.

Research Highlights: Tong's work addresses critical gaps in the Standard Model, particularly the matter-antimatter asymmetry (baryogenesis), by probing CP violation mechanisms in B meson oscillations and developing advanced detector systems. His dissertation on the search for the decay Bs → Eta' Ks (2019) and subsequent contributions to neural network tools demonstrate his commitment to improving experimental sensitivity at Belle II.

Publications: His 15 most recent articles (2022-2024) emphasize CP violation studies, detector performance optimization, and precision measurements using Belle II data. Topics span lepton flavor violation, QCD factorization tests, and machine learning applications in particle identification.