I am an Integrated Ph.D. candidate in Biomedical Sciences at Ajou University, working at the intersection of causal inference, pharmacoepidemiology, and medical informatics. My research aims to extract individualized treatment effect estimates from large-scale real-world clinical databases (OMOP-CDM) using causal machine learning frameworks.

With a background as a licensed pharmacist (Pharm.D., Ajou University 2022), I bridge clinical domain knowledge and data science — enabling rigorous interpretation of complex causal analyses and effective collaboration with clinicians and data scientists alike.

My ongoing work extends toward Multi-Agent Causal AI: building LLM-integrated pipelines that automate cohort construction, treatment effect estimation, counterfactual simulation, and clinical report generation — with the goal of advancing precision medicine at scale.