Donghee Lee
Graduate Student
Donghee Lee
Graduate Student
Nature was never designed to be easy for humans to understand
Therefore, throughout history, physicists have sought mathematical lenses through which to interpret nature effectively
It's not meaningful, though it isn't meaningless
Academic Career
Study Interest – Formulating a physics-based theoretical framework to investigate the fundamental properties of deep learning
Current position - Department of Physics in Korea Advanced Institute of Science and Technology
02/2023 - current Integrated master's/doctoral course in KAIST, Particle Theory Group
02/2018 - 02/2023 B.S in Physics at KAIST (Second major in Mathematical science)
Research
Dynamic neuron approach to deep neural networks - Phys. Rev. Research (arXiv:2410.00396)
Synaptic Field Theory for Neural Networks - Phys. Rev. D (arXiv:2503.08827)
Bulk Boundary Decomposition of neural networks (arXiv:2511.02003)
GlueNN: gluing patchwise analytic solutions with neural networks (arXiv:2601.05889)
Conference
Attended KPS fall meeting 10/25/2023 - 10/27/2023
Attended KPS spring meeting 4/24/2024 - 4/26/2024
Attended Light Dark World 2024 12/08/2024 - 15/08/2024
Presented (oral) KPS spring meeting 4/23/2025 - 4/25/2025
Attended Symmetries in Quantum Field Theory and Particle Physics 6/30/2025 - 7/11/2025
Presented (poster) StatPhys29 7/12/2025 - 7/19/2025
Presented (poster) KPS meeting - Daejeon, Chungnam, and Sejong Branch 7/24/2025
Seminar
Presented lab internal seminar : presented on 01/18-01/19 and 02/15-02/16 in 2023
Review article : Ising model and Its Critical Phenomena
Presented in Quantum Gravity Class : presented on 05/01 2024
Review article : Viscosity in Strongly Interacting Quanntum Field Theories from Black Hole Physics
Attended in Commentary Lectures on Nobel Prize Winning Achievement by College of Natural Sciences at KAIST on 11/13 2024
Attended in invited talk about Synaptic Field Theory at KAIST on 10/15 2025
Feature learning from realistic inputs: from toy models to deep neural networks (SISSA) on 11/25 2025
Attended in invited talk about our researches at KAIST on 02/25 2026
Attended in invited talk about our researches at SNU on 02/26 2026
Attended in Graduate School of AI for Math Opening Workshop at KAIST on 03/06 2026
Study Group
Attended in Quantum Field Theory study group 01/18/2023 - 08/07/2024
Attended in Quantum Field Theory study group 03/05/2025 - present
Lead Particle Physics study group 12/22/2023 - 05/10/2024
Attended in Cosmology study group 09/21/2023 - 11/9/2023
Attended in study group of free topics in physics 05/20/2024 - present
Attended AI+HEP journal club 05/2025 -present
Teaching Assistance
Undergraduate Quantum Mechanics 2 in 2023 Homework & Exam Solutions
Contact
E-mail : dhlee641@kaist.ac.kr
Group: Particle Theory Group (Room 4320 in E6-2, +82-42-350-7357)