• [2024-07] Attended ICML 2024 in Vienna, Austria.
  • [2024-05] Our work “Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space” has been accept to ICML 2024 as a Spotlight!
  • [2024-04] Attended the Machine+Behavior conference at the Harnack Haus in Berlin, Germany, and presented our work “The impacts and risks of Generative AI in Robotics Scenarios”.
  • [2024-01] Our work “Projecting Work-Life Trajectories and Retirement Expectations at Age 50: Estimates for Germany” has been accept to DGD 2024.
  • [2023-12] Attended NeurIPS 2023 in New Orleans, USA.
  • [2023-12] Our work “Evaluation of Antibody Structure Reconstruction with an SE(3)-Equivariant Graph Neural Network” has been accepted to KSC 2023 and won an excellence award!
  • [2023-08] Attended International Conference on Biological Physics (ICBP) 2023 in Seoul, South Korea.
  • [2023-07] I presented the talk “Developing and applying deep learning methods for protein design” at the Graduate School of AI - Gwangju Institute of Science and Technology (GIST) in Gwangju, South Korea.
  • [2023-07] Attended KIDDS Workshop 2023 in Busan, South Korea.
  • [2023-05] Our abstract “PPI-BERT: Pretraining Transformers with Masked Sequence-Structure of Protein Fragments for learning Protein-Protein Interactions” has been accepted for presentation at ICBP 2023.
  • [2023-05] Visited Federal University of Rio de Janeiro (UFRJ), Brazil.
  • [2023-05] I presented the talk “Developing and applying deep learning methods to facilitate new scientific discoveries” at the Max Planck Institute for Security and Privacy, Bochum, Germany.
  • [2023-04] Attended CHI 2023 in Hamburg, Germany.
  • [2023-04] Our work “Sensing accident-prone features in urban scenes for proactive driving and accident prevention” has been accepted to IEEE Transactions on Intelligent Transportation Systems. KAIST Breakthroughs Spring 2023
  • [2023-01] Our work “Protein Structure Tokenizer for Efficient Learning” has been presented as a poster at Peptalk 2023 in San Diego, USA.
  • [2023-01] Visited Max Planck Institute, Germany.
  • [2022-12] Attended KSC 2022 in Jeju Island, South Korea.
  • [2022-12] Attended AI Summit 2022 in Seoul, South Korea.
  • [2022-12] I presented the talk “Target-conditioned protein and antibody design for drug discovery” alongside Prof. Ho Min Kim (KAIST) at the 2022 IBS Winter School on AI-Boosted Basic Science.
  • [2022-12] Attended NeurIPS 2022 in New Orleans, USA.
  • [2022-12] Our work “Antibody Sequence Design With Graph-Based Deep Learning Methods” has been accepted to KSC 2022.
  • [2022-10] Our work “Protein Sequence Design in a Latent Space via Model-based Reinforcement Learning” has been accepted to NeurIPS 2022 Machine Learning in Structural Biology (MLSB) Workshop.
  • [2022-06] Our work “Structure-based representation for protein functionality prediction using machine learning” has been accepted to KCC 2022 and won an excellence award!