Profile
Welcome! I am a graduate student at Columbia University. My background is in experimental particle physics, with a focus on neutrino experiments.
CV: PDF
Research
My research centers on developing anomaly detection and machine learning techniques for rare searches in neutrino physics.
- Developing real-time AI models for data analysis in liquid argon detectors
- Real-time Anomaly Detection (RAD) in Fundamental Physics — in collaboration with the CMS group at Princeton University for real-time anomaly detection in particle physics.
- I am a member of the SBND experiment at Fermilab
- Searching for neutral current (NC) Delta radiative decay at SBND — a rare single-photon process predicted by the Standard Model. I am developing the cross section measurement for final states with photons.
Before joining Columbia University
Prior to my graduate studies, I worked on detector development and data analysis for rare event searches. I contributed to the SUB-Millicharge ExperimenT (SUBMET), focusing on monitoring systems and background studies. I also worked on the Silicon Tracker with International Education Objective (SiTrInEO) Project
Publications
- Real-time Anomaly Detection for Liquid Argon Time Projection Chambers, JINST 21, P06030 (2026) [JINST]
For a complete list of publications, refer to INSPIRE HEP.
Conference Talks & Posters
Talks
- Real-time Anomaly Detection for Liquid Argon Time Projection Chambers, NPML 2025 [Slides]
- Real-time anomaly detection on Liquid Argon Time Projection Chamber wire data, AD4HEP Workshop [Slides]
- Millicharged Particles at the Short Baseline Near Detector at Fermilab, APS Global Physics Summit [Slides]
- Real-Time AI Triggering for Liquid Argon Time Projection Chambers, CPAD 2024 [Slides]
- Real-time Anomaly Detection for Charge-based Triggering in LArTPCs, New Perspectives 2024 [Slides]
Posters
- Shower Reconstruction for Cross-section Measurements with Photon(s) in the Final State at SBND, Neutrino 2026 [Poster]
- Real-time Anomaly Detection for Liquid Argon Time Projection Chambers, NPML 2025 [Poster]
- Intelligent Triggers for Rare Event Detection in Liquid Argon Detectors, 58th Annual Users and Affiliates Meeting 2025 [Poster]
- Real-time Anomaly Detection AI for Particle Physics Experiments, Data Science Day 2024 [Poster]
Before joining Columbia University
Awards & Honors
- URA Visiting Scholars Program (2026)
- Korean Government Scholarship Program for Study Overseas (2023–2025)
Travel Support
- Travel Support Connecting the Dots (2025)
- Travel Support NPML 2025 (2025)
- URA Visiting Scholars Program for 2025 Users & New Perspectives Meeting (2025)
- URA Visiting Scholars Program (2025)
- Arts and Sciences Graduate Council Student Travel Grant (2025)
- URA Visiting Scholars Program (2024)
Before joining Columbia University
- National Scholarship for Science and Engineering (2016-2022)
Teaching
- PHYSUN1292 - GENERAL PHYSICS II LAB (Spring 2024)
- PHYSUN1291 - GENERAL PHYSICS I LAB (Fall 2023)
Contact
Email: Seokju Chung
Office: Nevis Labs, Columbia University
GitHub: github.com/seokjuchung
INSPIRE-HEP: inspirehep.net/authors/2797706