Experience

Computational Catalysis & Emerging Materials Lab Intern (MSE, SNU)

March 2025 – Current

TBD.

Materials Data & Informatics Lab Intern (MSE, SNU)

January 2025 – February 2025

Developed SevenNet, a GNN interatomic potential model for materials property prediction. Enabled a stable and reasonable direct output head for predicting force and stress.

Bio & Health Informatics Lab Intern (CSE, SNU)

March 2024 – December 2024

Developed a deep learning model for protein-ligand binding affinity prediction.
Introduced CheapNet, combining hierarchical representations of protein and ligand and cluster-level cross-attention to identify key binding sites.
Achieved state-of-the-art results, and evaluated CheapNet’s interpretability and memory efficiency

Neuromorphic Materials & Devices Lab Intern (MSE, SNU)

July 2023 – November 2023

Enhanced MNIST Accuracy of SNN-RBM Simulation from 85% (baseline) to 97.5% using transfer learning of CNN.
Demonstrated feature extracting properties of SNN-RBM simulation by implementing count-spike methods.