Manfred Paulini

Manfred Paulini is a Professor of Physics and the Associate Dean for Research at Carnegie Mellon University's Mellon College of Science. His research spans nuclear and particle physics, focusing on high-energy physics experiments at colliders like the Tevatron and Large Hadron Collider (LHC). He actively explores the intersection of particle physics and cosmology, particularly investigating matter-antimatter asymmetry and dark matter. His work combines traditional high-energy physics with modern machine learning techniques for event classification.

• Ph.D. and M.S. in Physics from University of Erlangen-Nürnberg

Paulini's research focuses on CP violation in B meson systems and dark matter detection via supersymmetric particle production at the LHC. He contributes to the CMS experiment at CERN and previously worked on the CDF experiment at Fermilab. His machine learning work applies convolutional neural networks to collider data analysis for improved event classification accuracy across diverse decay topologies.

His recent publications emphasize end-to-end ML classification of LHC data, supersymmetry searches, and precision measurements of CP violation parameters. Research spans 2000-2020 with consistent contributions to fundamental physics questions.

Scientific Awards

• Fellow, American Physical Society

Paulini's work involves developing novel detector data analysis frameworks and leading investigations into matter-antimatter asymmetry mechanisms. He supervises graduate student research through Carnegie Mellon's Department of Physics. Current projects include anomaly detection in collider data and improving supersymmetry search sensitivities through advanced ML techniques.

His experimental work at CERN and Fermilab combines with computational innovations, maintaining active collaborations across multiple institutions while serving in leadership roles at Carnegie Mellon University.