Sung-Min Park
박성민
Integrated MS-PhD Program in Physics
Korea Advanced Institute of Science and Technology (KAIST)
Currently on academic leave for military service as a Military Science and Technology Soldier
research philosophy and interests
My research interests lie at the fascinating intersection of physics and machine learning, where I explore how computational methods can unlock new insights into complex quantum systems. I believe the most exciting discoveries happen at the boundaries between disciplines — by combining the rigor of physics with the power of modern computational tools, we can tackle problems that were previously intractable and gain new perspectives on fundamental questions about nature.
Physics
- Tensor Networks: Efficient representations of quantum many-body states
- Neural Network States: Machine learning approaches to quantum many-body problems
- Quantum Computing & Quantum Information: Computational aspects of quantum systems
Machine Learning
- Physics-Informed Deep Learning: Applying ML techniques to solve physics problems
- Quantum Machine Learning: Quantum algorithms for machine learning tasks
- Computational Methods: Developing efficient algorithms for complex systems
publications
contact
Feel free to reach out if you have questions, collaboration ideas, or just want to chat about physics, machine learning, or anything in between! Beyond research, I enjoy traveling — the glacier above is from a trip to Iceland.
Download CV (PDF)