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Dongjin Seo

Ph.D. Student
Yale University
dongjin.seo@yale.edu


About Me


I am a PhD student at Yale University supervised by Professor Logan G. Wright. My research interests include scientific machine learning, foundation models for physical systems, and inverse design of photonic structures. I dream of contributing to the world with technology to make it a better place. I am partially supported by the Kwanjeong Scholarship. I am also partially supported by the Yale Planetary Solutions Doctoral Fellowship.

Research Interests


🧠Foundation Models
🔬Scientific ML
đź’ˇPhotonics
🌊Nonlinear Optics
⚙️Dynamical Systems
🎯Inverse Design

Education


News


Oct 2025đź“ť One paper has been accepted to ACS Photonics!
Dec 2024đź“ť Two papers have been accepted to NeurIPS 2024 workshops!
Sep 2024🥳 I started my academic journey as a PhD student!

Publications


    Preprint

  1. Preprint
    Generalizing Deep Surrogate Solvers for Broadband Electromagnetic Field Prediction at Unseen Wavelengths
    J Seo†, C Kang†, D Seo, H Chung*
    arXiv
    PDF

    2. Journal

  2. J6
    Physics-guided and fabrication-aware inverse design of photonic devices using diffusion models
    D Seo†, S Um†, S Lee, J Ye*, H Chung*
    ACS Photonics, 2026
    PDF Code Supplementary Cover of 2026 Jan. Issue

  3. J5
    ASOptimizer™: optimizing antisense oligonucleotides through deep learning for IDO1 gene regulation
    G Hwang†, M Gwon†, D Seo, DH Kim, K Lee, E Kim, M Kang*, J Ryu
    Molecular Therapy Nucleic Acids, 2024
    PDF

  4. J4
    Sample-efficient inverse design of freeform nanophotonic devices with physics-informed reinforcement learning
    C Park†, S Kim†, W Jeong†, J Park, D Seo, Y Kim, C Park, CY Park*, MS Jang*
    Nanophotonics, 2024
    PDF

  5. J3
    Adjoint Method in Machine Learning: A Pathway to Efficient Inverse Design of Photonic Devices
    C Kang†, D Seo†, S V Boriskina, H Chung*
    Materials & Design, 2024
    PDF

  6. J2
    Structural Optimization of a One-Dimensional Freeform Metagrating Deflector via Deep Reinforcement Learning
    D Seo†, DW Nam†, J Park, CY Park*, MS Jang*
    ACS Photonics, 2022
    PDF Code Front Cover of 2022 Feb. Issue

  7. J1
    Inverse design of organic light-emitting diode structure based on deep neural networks
    S Kim, JM Shin, J Lee, C Park, S Lee, J Park, D Seo, S Park, CY Park, MS Jang*
    Nanophotonics, 2021
    PDF

    8. Conference

  8. C9
    Physics-guided Optimization of Photonic Structures using Denoising Diffusion Probabilistic Models
    D Seo†, S Um†, S Lee, J Ye*, H Chung*
    NeurIPS 2024 Workshop / Machine Learning and the Physical Sciences (poster), Dec 2024
    PDF

  9. C8
    Wave Interpolation Neural Operator: Interpolated Prediction of Electric Fields Across Untrained Wavelengths
    J Seo†, C Kang†, D Seo, H Chung*
    NeurIPS 2024 Workshop / Data-driven and Differentiable Simulations (poster), Dec 2024
    PDF

  10. C7
    Adjoint sensitivity analysis based photonic structure efficiency prediction and data augmentation
    C Kang†, D Seo†, S V Boriskina, H Chung*
    CLEO-PR 2024 (poster), Aug 2024
    PDF

  11. C6
    High-Speed Multiwavelength Adjoint Optimization with Surrogate Solver
    J Seo†, C Kang†, D Seo, H Chung*
    CLEO-PR 2024 (poster), Aug 2024
    PDF

  12. C5
    Physics-guided Diffusion Models for Inverse Design
    D Seo†, S Um†, J Ye, H Chung*
    CLEO-PR 2024 (poster), Aug 2024
    PDF

  13. C4
    Contextualized and Aligned Audio-Text Fusion Models for Emotion Recognition
    S Choi, Y Kwon, D Seo*
    KCC 2023 (poster), Dec 2023
    PDF

  14. C3
    Adjoint Method for Data Augmentation of Photonic Structures
    D Seo, C Kang, H Chung*
    Optica Imaging Congress (oral), Aug 2023
    PDF

  15. C2
    Deep reinforcement learning enables freeform structure optimization of 1D metagrating deflector
    D Seo, DW Nam, J Park, CY Park*, MS Jang*
    SPIE Optical Engineering + Applications (oral), Oct 2022
    PDF

  16. C1
    Realization of large scale graphene plasmonic resonator using epsilon-near-zero substrate
    S Kim, S Baek, SY Min, H Ha, D Seo, J Kim, G Lee, B Min, MS Jang*
    NANO KOREA 2022 (poster), Jul 2022
    PDF

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