Education

College of Pharmacy, Seoul National University
[ 2022 -  2026 ]
Ph.D. candidate in Pharmaceutical Sciences (Advisor: Jung Mi Oh)

• Thesis: Machine learning-based prognosis prediction and proteome-wide causal inference-based drug repurposing in glomerular diseases

College of Pharmacy, Seoul National University
[ 2018 - 2022 ]
Pharm.D. in Pharmacy

• Summa cum laude with a valedictorian honor

• Dissertation: Real-world incidence of gastrointestinal adverse events in sitagliptlin new-users

Department of Life Sciences and Biotechnology, Korea University
[ 2015 - 2017 ]
Pre-pharmacy course (second-year completion) in Biotechnology and Medical Convergence Engineering

Clinical Practice Experience

Urology and Kidney Center, Seoul National University Hospital
[ 2024 - Present ]
Outpatient Clinical Pharmacist (Nephrology and Kidney Transplant Specialty)

Nephrology Care Ward, Seoul National University Hospital
[ 2022 - 2024 ]
Inpatient Clinical Pharmacist (Nephrology Specialty)

Teaching Experience

Peer Review & Editorial Experience

Research Participation

Multi-dimensional phenomic-genomic integration for precision approach to therapeutic heterogeneity in complex metabolic disease
[ 2025 - 2027 ]
National Research Foundation of Korea
PI: Jung Mi Oh (Seoul National University)
Role: Research assistant lead

Exposomics-based causal inference study to develop a treatment strategy for autoimmune diseases
[ 2024 - 2026 ]
National Research Foundation of Korea
PI: In-Wha Kim (Seoul National University)
Role: Research assistant lead

Causal drug exploration and clinical evaluation (CADENCE) network
[ 2024 ]
The Korean Society of Medical Informatics
PI: Minoh Ko (Seoul National University)
Role: Moderator

Establishment and application of a preemptive drug overreaction prevention and response system to enhance patient safety
[ 2024 - 2025 ]
Korea Health Industry Development Institute
PI: Hye Ryun Kang (Seoul National University Hospital)
Role: Research assistant

Development and demonstration of a needs-based digital platform for optimized multidisciplinary shared decision making in the use of therapeutic drugs in autosomal dominant polycystic kidney disease
[ 2023 - 2024 ]
Korea Health Industry Development Institute
PI: Yong Chul Kim (Seoul National University Hospital)
Role: Research assistant

Development of hyper-personalized deep prediction technology for diabetes metabolic complications based on both structured and unstructured data using artificial intelligence
[ 2022 - 2024 ]
National Research Foundation of Korea
PI: Jung Mi Oh (Seoul National University)
Role: Research assistant lead

Development of CKD-AIM digital therapy for medication and complication management for patients with chronic kidney disease
[ 2022 ]
Seoul National University Hospital & Invites Biocore Research Fund
PI: Hajeong Lee (Seoul National University Hospital)
Role: Research assistant

Awards and Honors