Pharmacoinformatics
Si Eun Lee
Research Professor
Seoul
Summary
Pharmacoinformatics-trained PharmD with a research background in molecular biology and life science.
Skilled in Python-based deep learning, cheminformatics, and computational modeling for PK/ADMET prediction and QSAR studies.
Experienced in applying Neural-ODE, 3D molecular fingerprints (E3FP), and cross-species transfer learning for drug development modeling.
Passionate about building data-driven frameworks for personalized medicine and equitable healthcare innovation.
Overview
1
1
year of professional experience
12
12
years of post-secondary education
2
2
Languages
Work History
Research Professor
Gachon University
10.2024 - 10.2025
Postdoctoral Research Fellow / Research Professor
Gachon University, College of Pharmacy — Nov. 2024 – Oct. 2025 (expected)
- Currently modeling tasks in PK/ADMET prediction using Neural-ODE, integrating in vivo pharmacokinetic datasets (CL, Vdss) from ChEMBL, DeepPK, and TDC
- Coordinated the technical execution of K-MELLODDY, a national AI drug discovery project; managed modeling pipeline planning and data flow
- Built cross-species transfer learning pipeline with E3FP-based location fingerprints and human equivalent dose (HED) normalization
Education
Ph.D. - Pharmacy
Gachon University
Incheon, South Korea 04.2019 - 01.2025
Master of Science - Molecular Biology
Chung-Ang University
Seoul, South Korea 04.2014 - 01.2017
Bachelor of Science - Life Science
Sogang University
Seoul, South Korea 04.2009 - 01.2013
Skills
Interests
QSAR
Chemoinformatics
Timeline
Research Professor
Gachon University
10.2024 - 10.2025
Ph.D. - Pharmacy
Gachon University
04.2019 - 01.2025
Master of Science - Molecular Biology
Chung-Ang University
04.2014 - 01.2017
Bachelor of Science - Life Science
Sogang University
04.2009 - 01.2013
Languages
Korean
Native or Bilingual
English
Professional Working
Personal Information
Date of Birth: 11/12/90
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