Seungwoong Ha

Postdoc @ SFI


7312, SFI

1399 Hyde Park Rd,

NM 87501, United States.

  • Applied Complexity Postdoctoral fellow in Santa Fe Institute (23.07.01 ~ 25.07.01), Ph.D. in Physics at KAIST.

  • Studying and reasearching statistical physics, network science, data science and machine learning.

  • Interested in applying (1) a tool of ML to physics and (2) a tool of physics to every other domain.

  • Currently working on & interested in ‑

    • (mainly) Formulating and modelling emergence and evolution of social phenomena
    • Automatically discovering new scientific concepts
    • Constructing collective intelligence with self‑organization and game‑theoretical approach

    ‑ via modern machine learning techniques, especially with deep neural networks.


Jul 1, 2023 :airplane: Move into Santa Fe, NM and starting my postdoctoral position at SFI.
Mar 16, 2023 :sunglasses: Starting my first postdoctoral position at KIAS.
Feb 17, 2023 :mortar_board: Graduated from KAIST with my Ph.D. in Physics (thanks to my advisor, Hawoong Jeong!).

selected publications

  1. Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning
    Seungwoong Ha, and Hawoong Jeong
    International Conference on Machine Learning (ICML) 2023, Poster, 2023
  2. Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network
    Seungwoong Ha, and Hawoong Jeong
    International Conference on Learning Representations (ICLR) 2023, Poster, 2023
  3. Discovering invariants via machine learning
    Seungwoong Ha, and Hawoong Jeong
    Physical Review Research, Dec 2021
  4. Unraveling hidden interactions in complex systems with deep learning
    Seungwoong Ha, and Hawoong Jeong
    Scientific reports, Jun 2021