Jennifer Ngadiuba

Jennifer Ngadiuba is a particle physicist and AI expert currently working as an associate scientist at the Fermi National Accelerator Laboratory.. Her most notable work is the application of Artificial intelligence and Machine learning to address high-energy particle physics at ultrafast speeds in real-time through anomaly detection. Since 2013, she has worked with at the Large Hadron Collider at CERN. Provided by Wikipedia
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  1. 1
    Editorial: Efficient AI in particle physics and astrophysics

    Editorial: Efficient AI in particle physics and astrophysics by Javier Duarte, Mia Liu, Jennifer Ngadiuba, Elena Cuoco, Elena Cuoco, Jesse Thaler, Jesse Thaler

    Published 2022-09-01
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  2. 2
    Robust anomaly detection for particle physics using multi-background representation learning

    Robust anomaly detection for particle physics using multi-background representation learning by Abhijith Gandrakota, Lily H Zhang, Aahlad Puli, Kyle Cranmer, Jennifer Ngadiuba, Rajesh Ranganath, Nhan Tran

    Published 2024-01-01
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  3. 3
    Ultrafast jet classification at the HL-LHC

    Ultrafast jet classification at the HL-LHC by Patrick Odagiu, Zhiqiang Que, Javier Duarte, Johannes Haller, Gregor Kasieczka, Artur Lobanov, Vladimir Loncar, Wayne Luk, Jennifer Ngadiuba, Maurizio Pierini, Philipp Rincke, Arpita Seksaria, Sioni Summers, Andre Sznajder, Alexander Tapper, Thea K Årrestad

    Published 2024-01-01
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  4. 4
    Applications and Techniques for Fast Machine Learning in Science

    Applications and Techniques for Fast Machine Learning in Science by Allison McCarn Deiana, Nhan Tran, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belina von Krosigk, Belina von Krosigk, Shen Wang, Thomas K. Warburton

    Published 2022-04-01
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  5. 5
    Corrigendum: Applications and techniques for fast machine learning in science

    Corrigendum: Applications and techniques for fast machine learning in science by Allison McCarn Deiana, Nhan Tran, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belina von Krosigk, Belina von Krosigk, Shen Wang, Thomas K. Warburton

    Published 2023-10-01
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