User:Conpaulmac/sandbox
Jennifer Ngadiuba
[edit]Jennifer Ngadiuba is a particle physicist and AI expert currently working as an associate scientist at the Fermi National Accelerator Laboratory.[1][2][3] Her most notable work is the application of Artificial intelligence and Machine learning to address complex elementary particle physics at ultrafast speeds in real-time through anomaly detection.[1][4] Since 2013[5], she has worked with at the Large Hadron Collider at CERN.[1][2][4]
Education
[edit]Ngadiuba claims she has known she wanted to study physics since in high school[6]. She completed her masters degree at the University of Milano-Bicocca where she became interested in particle physics and undertook opportunities to work with CERN through young scientist schemes[6]. Following her masters degree, Ngadiuba completed her PhD in Physics at the University of Zurich[6]. She then had postdoctoral fellowship positions at Caltech[5][6] and CERN[7].
Career and Research
[edit]Ngadiuba’s expertise is in analyzing the large amounts of data produced by high energy particle collisions through machine learning.[5] Her work aims to improve the amount of data obtained from particle collisions through real-time AI inferences, in order to determine if they align with the Standard Model of particle physics[5]. AI can use patterns in the data from millions of collisions to find rare insights, through detection of anomalies[3][8]. She is a member of the Compact Muon Solenoid (CMS) collaboration[4][9] and co-founded the fast machine learning organisation[2][8].
Following her PhD, Ngadiuba worked as a CERN fellow for three years[6]. Following that she entered her postdoctoral positions. Since 2021, Ngadiuba has maintained the Wilson fellowship at Fermilab[1][2][7], considered a tenure-track position[10][11]
As of March 2025, Ngadiuba has been cited over 140,000 times[12].
Personal Life
[edit]During the COVID-19 pandemic, Ngadiuba worked from home with her husband[6]. The pandemic delayed her visiting CERN following her appointment as a caltech fellow[6].
Awards
[edit]Ngadiuba was awarded the 2024 Early Career Scientist Prize in Particle Physics by the International Union of Pure and Applied Physics at the International Conference on High Energy Physics in Prague.[1][4]
Ngadiuba’s innovative work in AI applications to CMS physics earned her the U.S. Department of Energy’s AI4HEP award in 2023[4][7].
- ^ a b c d e maxwellb (2024-08-06). "Fermilab Fellow Jennifer Ngadiuba receives Early Career Scientist Prize in Particle Physics". News. Retrieved 2025-03-30.
- ^ a b c d "Jennifer Ngadiuba". The Alan Turing Institute. Retrieved 2025-03-30.
- ^ a b "Jennifer Ngadiuba". AI2050. Retrieved 2025-03-30.
- ^ a b c d e "IUPAP Early Career Award Winner - Jennifer Ngadiuba | CMS Experiment". cms.cern. Retrieved 2025-03-30.
- ^ a b c d Patel, Chetan (2024-02-06). "Community Perspective - Jennifer Ngadiuba". AI2050. Retrieved 2025-03-30.
- ^ a b c d e f g "Untangling Particles with Artificial Intelligence". California Institute of Technology. 2020-08-05. Retrieved 2025-03-30.
- ^ a b c C11, C11 (2021-03-08). "C11: News - IUPAP: The International Union of Pure and Applied Physics". Retrieved 2025-03-30.
{{cite web}}: CS1 maint: numeric names: authors list (link) - ^ a b "Jennifer Ngadiuba – DeepLearn 2022 Spring". Retrieved 2025-03-30.
- ^ Charley, Sarah (2024-09-03). "Physics beyond the imaginable | symmetry magazine". www.symmetrymagazine.org. Retrieved 2025-03-30.
- ^ "A year ago, Black physicists at Fermilab demanded change. What's happened?". www.science.org. Retrieved 2025-03-30.
- ^ "Fermilab | For Physicists & Engineers | Fellowships". www.fnal.gov. Retrieved 2025-03-30.
- ^ "Jennifer Ngadiuba". scholar.google.com. Retrieved 2025-03-30.