Jennifer NGADIUBA

Task leader

Jennifer Ngadiuba, a Wilson Fellow at Fermilab since 2021, specializes in searching for new physics in collider data and advancing AI applications in high-energy physics. She graduated from the University of Zurich, where she conducted research at new center-of-mass energies, searching for new heavy resonances decaying to dibosons at the CMS experiment, and validating and utilizing new jet substructure techniques. As research fellow at CERN and Caltech, she pioneered deep learning for anomaly detection and fast inference on FPGAs for LHC triggers. Her work integrating AI in real-time collider data analysis earned her the U.S. Department of Energy’s AI4HEP award in 2023. In the same year, she was also named a fellow of the AI2050 initiative by Schmidt Sciences, recognizing her significant contributions to the field.

Fields of interest:

• high-energy physics
• machine learning, real-time AI
• anomaly detection