معرفی
Spencer Chang is an Associate Professor in the Department of Physics at the University of Oregon, affiliated with the College of Arts and Sciences and the Institute for Fundamental Science. His research focuses on theoretical high-energy physics, exploring phenomena beyond the Standard Model, dark matter, cosmology, and applications of machine learning in collider physics.
Chang earned a Ph.D. from Harvard University in 2004 and has been at the University of Oregon since 2010. He contributes to interdisciplinary research initiatives and collaborates with affiliated centers, emphasizing precision physics and innovative computational techniques.
His research spans
- Effective Field Theory (EFT) applications for quantifying uncertainties in LHC searches
- Dark matter phenomenology, including WIMPs and direct detection experiments
- Cosmological implications of new physics
- Machine learning interpretability for high-energy physics
The 15 most recent publications highlight his work on collider observables, dark matter detection, Higgs physics, and ML-driven anomaly detection. Notable themes include Standard Model extensions, precision measurements, and experimental design for future colliders.
Contact information: Email: chang2@uoregon.edu, Office: 476 Willamette Hall, Phone: 541-346-0797.
