Jieun Yoo
Hi. I'm a faculty member (tenure track) at Wright College, where I teach physics and engineering courses. I received my PhD in experimental particle physics from the University of Illinois at Chicago (UIC) in 2025.
My research interests include Higgs boson physics, searches for new physics, and the development of next-generation particle detectors.
As a member of the CMS Collaboration at the Large Hadron Collider (LHC), I worked on Higgs boson physics, including previous studies of Higgs boson decays to W boson pairs (H→WW). My current research focuses on Higgs boson decays to tau leptons (H→ττ).
I have also worked on machine learning and silicon detector development through the Smart Pixels Collaboration, contributing to the development of neural networks implemented directly on detector readout chips to reduce data volumes and enable new physics searches.
Previously, I worked on neutrino detector research as a member of the T2K and CAPTAIN collaborations. My contributions included studies of the T2K Pi-Zero Detector (P0D) in Japan and neutron beam measurements with the mini-CAPTAIN liquid argon time projection chamber (LArTPC) at Los Alamos National Laboratory (LANL).
Fall 2026 Courses
- Physics 236 — Engineering Physics II: Electricity & Magnetism
- Physics 215 — (Engineering) Statics
- Math 125 — Introductory Statistics
Summer 2026 Courses
- Astronomy 201 — Descriptive Astronomy
Spring 2026 Courses
- Math 208 — Calculus & Analytic Geometry II
- Math 140 — College Algebra
Co-Convenor, CMS Machine Learning Knowledge Group
2024–2025
Co-led a collaboration-wide machine learning working group within the CMS Collaboration, coordinating cross-institutional discussions, advising analysts on machine learning methodology and analysis strategy, and establishing and editing the group's newsletter.
Judge, New York Times Annual STEM Writing Contest
2021–2023
Reviewed and evaluated student submissions from across the United States, supporting scientific communication and STEM engagement.
Grand Awards Judge, Regeneron International Science and Engineering Fair (ISEF)
May 2022
Evaluated student research projects at an international pre-college science and engineering competition.
Selected Publications
Journal Publications
- CMS Collaboration, " Search for Higgs boson production at high transverse momentum in the WW decay channel in proton-proton collisions at √s = 13 TeV," Journal of High Energy Physics, 2026, no. 7, article 248.
- D. Shekar, B. Weiss, M. Swartz, C. Mills, J. Dickinson, L. Gray, D. Jiang, M. A. Wadud, D. Abadjiev, A. Badea, D. Berry, A. Cauper, A. R. Das, K. F. DiPetrillo, F. Fahim, R. K. Fuentes, A. Gandrakota, G. Di Guglielmo, E. Howard, S. Kuang, C. Kumar, M. Liu, P. Maksimovic, N. Manganelli, M. S. Neubauer, A. Nicholas, E. Pan, B. Parpillon, J. Pearkes, R. Silvestre, C. Syal, A. Trivedi, K. Ulmer, J. Yoo, and E. You, " Robustness of the smartpixels classifier for different simulated sensor geometries and non-ideal detector conditions," Nuclear Instruments and Methods in Physics Research Section A, article 171897, December 2026.
- J. Yoo, J. Dickinson, M. Swartz, G. Di Guglielmo, A. Bean, D. Berry, M. Blanco Valentin, K. DiPetrillo, F. K. Fahim, L. Gray, J. Hirschauer, S. Kulkarni, R. Lipton, P. Maksimovic, C. Mills, M. Neubauer, B. Parpillon, G. Pradhan, C. Syal, N. Tran, D. Wen, and A. Young, " Smart pixel sensors: Towards on-sensor filtering of pixel clusters with deep learning," Machine Learning: Science and Technology, 2024.
- S. Martynenko, B. Bhandari, J. Bian, K. Bilton, C. Callahan, J. Chaves, H. Chen, D. Cline, R. L. Cooper, D. L. Danielson, J. Danielson, N. Dokania, S. Elliott, S. Fernandes, S. Gardiner, G. Garvey, V. Gehman, F. Giuliani, S. Glavin, M. Gold, C. Grant, E. Guardincerri, T. Haines, A. Higuera, J. Y. Ji, R. Kadel, N. Kamp, A. Karlin, W. Ketchum, L. W. Koerner, D. Lee, K. Lee, Q. Liu, S. Locke, W. C. Louis, J. Maricic, E. Martin, M. J. Martinez, C. Mauger, C. McGrew, J. Medina, P. J. Medina, A. Mills, G. Mills, J. Mirabal-Martinez, A. Olivier, E. Pantic, B. Philipbar, C. Pitcher, V. Radeka, J. Ramsey, K. Rielage, M. Rosen, A. R. Sanchez, J. Shin, G. Sinnis, M. Smy, W. Sondheim, I. Stancu, C. Sterbenz, Y. Sun, R. Svoboda, C. Taylor, A. Teymourian, C. Thorn, C. E. Tull, M. Tzanov, R. G. Van de Water, D. Walker, N. Walsh, H. Wang, Y. Wang, C. Yanagisawa, A. Yarritu, and J. Yoo (CAPTAIN Collaboration), " Measurement of the neutron cross section on argon between 95 and 720 MeV," Physical Review D, vol. 107, no. 7, article 072009, 2023.
- C. Taylor, B. Bhandari, J. Bian, K. Bilton, C. Callahan, J. Chaves, H. Chen, D. Cline, R. Cooper, D. Danielson, J. Danielson, N. Dokania, S. Elliot, S. Fernandes, S. Gardiner, G. Garvey, V. Gehman, F. Giuliani, S. Glavin, M. Gold, C. Grant, E. Guardincerri, T. Haines, A. Higuera, J. Ji, R. Kadel, N. Kamp, A. Karlin, W. Ketchum, L. Koerner, D. Lee, K. Lee, Q. Liu, S. Locke, W. Louis, P. Madigan, A. Manalaysay, J. Maricic, E. Martin, M. Martinez, S. Martynenko, C. Mauger, C. McGrew, J. Medina, P. Medina, A. Mills, G. Mills, J. Mirabal-Martinez, A. Olivier, E. Pantic, B. Philipbar, C. Pitcher, V. Radeka, J. Ramsey, K. Rielage, M. Rosen, A. Sanchez, J. Shin, G. Sinnis, M. Smy, W. Sondheim, I. Stancu, C. Sterbenz, Y. Sun, R. Svoboda, A. Teymourian, C. Thorn, C. Tull, M. Tzanov, R. Van de Water, N. Walsh, H. Wang, Y. Wang, C. Yanagisawa, A. Yarritu, and J. Yoo, " The mini-CAPTAIN liquid argon time projection chamber," Nuclear Instruments and Methods in Physics Research Section A, vol. 1001, article 165131, 2021.
Conference Proceedings
- N. R. Miniskar, P. Vanna-Iampikul, A. Young, S. K. Lim, F. Liu, J. Yoo, C. Mills, N. Tran, F. Fahim, and J. S. Vetter, " A 3D implementation of convolutional neural network for fast inference," in 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023.
- S. R. Kulkarni, A. Young, P. Date, N. Rao Miniskar, J. Vetter, F. Fahim, B. Parpillon, J. Dickinson, N. Tran, J. Yoo, C. Mills, M. Swartz, P. Maksimovic, C. Schuman, and A. Bean, " On-sensor data filtering using neuromorphic computing for high energy physics experiments," in Proceedings of the 2023 International Conference on Neuromorphic Systems (ICONS '23), 2023.
- J. Pata, J. Duarte, F. Mokhtar, E. Wulff, J. Yoo, J.-R. Vlimant, M. Pierini, M. Girone, and on behalf of the CMS Collaboration, " Machine Learning for Particle Flow Reconstruction at CMS," Journal of Physics: Conference Series, vol. 2438, 2023.