Even phrases that emphasize AI’s success have started to feel clichéd

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 Interests

• Physics of deep learning: field-theoretic approaches and collective phenomena

• Inherent properties of training dynamics: locality and homogeneity

• Beyond scaling laws in deep learning: efficient modeling strategies

Publications

• GlueNN: gluing patchwise analytic solutions with neural networks (arXiv:2601.05889)

• Bulk Boundary Decomposition of neural networks (arXiv:2511.02003)

• Synaptic Field Theory for Neural Networks - Phys. Rev. D (arXiv:2503.08827)

• Dynamic neuron approach to deep neural networks - Phys. Rev. Research (arXiv:2410.00396)

Conference

Presentation files can be found here

• (oral) SigmaPhi 7/06/2026 - 7/10/2026

- Bulk-boundary decomposition of neural networks

• (oral) SigmaPhi 7/06/2026 - 7/10/2026

- Dynamic neuron approach to deep neural networks

• (oral) KPS spring meeting 4/22/2026 - 4/24/2026

-  Bulk-boundary decomposition of neural networks

• (poster) StatPhys29 7/12/2025 - 7/19/2025

- Dynamic Neuron Approach

• (poster) KPS meeting - Daejeon, Chungnam, and Sejong Branch 7/24/2025

- Dynamic Neuron Approach

• (oral) KPS spring meeting 4/23/2025 - 4/25/2025

- Dynamic neurons: A statistical physics approach for analyzing deep neural networks

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

Teaching Assistance

• Quantum Information with Atoms 2026 spring

• Classical Mechanics 2 2024 fall

• Quantum Mechanics 2 2023 fall Homework & Exam Solutions

• General Physics 1 2023 spring

Academic Activity - Attended Conference

• Symmetries in Quantum Field Theory and Particle Physics 6/30/2025 - 7/11/2025

• Attended Light Dark World 2024 12/08/2024 - 15/08/2024

• Attended KPS spring meeting 4/24/2024 - 4/26/2024

• Attended KPS fall meeting 10/25/2023 - 10/27/2023

Academic Activity - Study Group & Journal Club

• AI+HEP journal club 05/2025 -present

• Study group of free topics in physics 05/20/2024 - present 

• Cosmology study group 09/21/2023 - 11/9/2023

• Quantum Field Theory study group 03/05/2025 - present

• Lead Particle Physics study group 12/22/2023 - 05/10/2024

• Quantum Field Theory study group 01/18/2023 - 08/07/2024

Academic Activity - Seninar and Presentations

• Attended in Graduate School of AI for Math Opening Workshop at KAIST on 03/06 2026

• Attended in invited talk about our researches at SNU on 02/26 2026

• Attended in invited talk about our researches at KAIST on 02/25 2026

• Feature learning from realistic inputs: from toy models to deep neural networks (SISSA) on 11/25 2025

• Attended in invited talk about Synaptic Field Theory at KAIST on 10/15 2025

• Attended in Commentary Lectures on Nobel Prize Winning Achievement by College of Natural Sciences at KAIST on 11/13 2024

• Presented in Quantum Gravity Class : presented on 05/01 2024

Review article : Viscosity in Strongly Interacting Quanntum Field Theories from Black Hole Physics

Contact

E-mail : dhlee641@kaist.ac.kr

Group: Particle Theory Group (Room 4320 in E6-2, +82-42-350-7357)