Minji Lee

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Hi 🙌 I am a first-year PhD student in Computer Science at Columbia University, advised by Mohammed AlQuraishi. I completed my Bachelor’s in CS at KAIST this June, where I worked in ALIN Lab advised by Jinwoo Shin and Institute for Basic Science advised by Meeyoung Cha and Homin Kim. My research interests includes:

  • Diffusion models and language models for protein design
  • Controllable generation and model alignment
  • Reinforcement learning and lab-in-the-loop protein engineering

news

Jul 02, 2024 Gave a talk on Genie2 at ML 4 Protein Engineering seminar.
Jul 01, 2024 Received 관정 Fellowship.
May 02, 2024 A paper accepted to ICML (spotlight)!

selected publications

  1. Preprint
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    Out of Many, One: Designing and Scaffolding Proteins at the Scale of the Structural Universe with Genie 2
    Yeqing Lin , Minji Lee, Zhao Zhang, and Mohammed AlQuraishi
    2024
  2. ICML
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    Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
    †Minji Lee, †Luiz Felipe Vecchietti, Hyunkyu Jung, Hyunjoo Ro, and 2 more authors
    International Conference on Machine Learning, 2024
    Preliminary version presented at ML in Structural Biology Workshop at NeurIPS, 2022
  3. NeurIPSW
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    Fine-tuning protein Language Models by ranking protein fitness
    Minji Lee, Kyungmin Lee, and Jinwoo Shin
    Generative AI and Biology Workshop at NeurIPS, 2023
  4. WACV
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    Efficient Reference-Based Video Super-Resolution (ERVSR): Single Reference Image Is All You Need
    †Minji Lee, †Youngrae Kim, †Jinsu Lim, †Hoonhee Cho, and 3 more authors
    IEEE/CVF Winter Conference on Applications of Computer Vision, 2023