Developing technology to deliver the value of AI everywhere.

• Working on VLM for on-device applications to solve real-world problems.

Worked on developing AI models in a field of drug discovery for a better world.

• Developed a representation learning methodology capable of handling various scales of molecules, from small molecules to proteins, in a universal embedding space.
• Developed a model for controllable molecular generation, depending on protein conditions, based on the diffusion model.
• Discovered an imbalance in the process of models performing molecular interaction prediction utilizing features from different modalities and resolved it through a multimodal-mixing method.

• Managed and visualized Seoul national university's greenhouse gas and energy data with R programming.
• Improved data management workflow and established visual baselines for tracking energy consumption trends and identifying anomalies in buildings.
• Realized the importance of experiencing and handling actual real-world data.