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Jennifer Ngadiuba is a physicist and computer scientist, specialising in applying AI to high energy physics problems. She currently is an associate scientist at the Fermi National Accelerator Laboratory.

Life and Work
Dr. Jennifer Ngadiuba received her PhD from the University of Zurich from 2013-2017 working on CMS data analyses and the inner silicon pixel subsystem. She then began work as a particle physicist at CERN, analysing proton-proton collision data collected by the CMS experiment at the Large Hadron Collider, deploying novel deep-learning methods for detection of complex signals beyond the standard model.

She is the co-founder of the fast machine learning organisation, a research collective applying machine learning to novel scientific problems

Currently, she works on the Compact Muon Solenoid, and has won several awards for her work, most recently, The U.S. Department of Energy’s AI4HEP award and the Schmidt Futures AI2050 Early Career Fellows award.