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

Integrated master's/doctoral course in KAIST

B.S in Physics at KAIST (Second major in Mathematical science)

Research

1. Dynamic neuron approach to deep neural networks: Decoupling neurons for renormalization group analysis - Phys. Rev. Research

2. Synaptic Field Theory for Neural Networks 03/2025

Conference

1. Attended KPS fall meeting 10/25/2023 - 10/27/2023

2. Attended KPS spring meeting 4/24/2024 - 4/26/2024

3. Presented (oral) KPS spring meeting 4/23/2025 - 4/25/2025

4. Presented (poster) StatPhys29 7/12/2025 - 7/19/2025

5. Presented (poster) KPS (Daejeon, Chungnam, and Sejong Branch) 7/24/2025

Seminar

1. Lab internal seminar : presented on 01/18-01/19 and 02/15-02/16 in 2023

Review article : Ising model and Its Critical Phenomena

2. Quantum Gravity Class : presented on 05/01 2024

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

Study Group

1. Attended in Quantum Field Theory study group 01/18/2023 - 08/07/2024

2. Attended in Quantum Field Theory study group 03/05/2025 - ongoing

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

4. Attended in Cosmology study group 09/21/2023 - 11/9/2023

5. Attended in study group of free topics in physics 05/20/2024 - ongoing 

Teaching Assistance

1. 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)