Suehyun Lee | Protein | Best Researcher Award

Assist Prof Dr Suehyun Lee | Protein | Best Researcher Award

Assist Prof Dr Suehyun Lee,Gachon University,South Korea

Assistant Professor Dr. Suehyun Lee is a prominent academic at Gachon University, South Korea. Dr. Lee holds a Ph.D. in [specific field, if known] and has garnered significant expertise in [specific area of research or specialization]. With a strong background in [relevant field or discipline], Dr. Lee is dedicated to advancing knowledge and research in [specific topics or focus areas]. At Gachon University, Dr. Lee contributes to [department or program], fostering academic excellence and innovation.

Profile

Education

2017.2 Ph.D. Seoul National University College of Medicine, Seoul, Korea, Dissertation: Development of pharmacovigilance system for adverse drug reaction signals from electronic health records (Advisor: Ju Han Kim, M.D., Ph.D.) 2012.2 M.S. Seoul National University College of Medicine, Seoul, Korea Dissertation: Analysis of adverse drug reactions (ADRs) using controlled vocabularies Advisor: Ju Han Kim, M.D., Ph.D. 2010.2 B.S. Gachon University, Korea (Advisor: Youngho Lee, Ph.D.)

Professional experince

2023.03–Present Assistant Professor, Department of Computer Engineering, College of IT Convergence, Gachon University, Seongnam, Korea 2023.03–Present Vice Director of Healthcare Data Science Center, Gachon University Hospital 2018.10–2023.2 Assistant Professor, Department of biomedical informatics, College of Medicine, Konyang University, Daejeon, Korea 2020.03– 2023.2 Assistant Professor, Department of Medical Artificial Intelligent, Medical Engineering College, Konyang University, Daejeon, Korea. 2023.2 Vice Director of Healthcare Data Science Center, Konyang University Hospital 2017.11-2018.9 Research Assistant Professor, Seoul National University Hospital, Seoul, Korea 2017.3-2017.10 Postdoctoral Fellow, Division of Biomedical Informatics, College of Medicine Seoul National University, Seoul, Korea 2010.3-2017.2 Teaching Assistant, Seoul National University  College of Medicine 2009.7-2010.2

Research Focus

  1. Data science for Pharmacovigilance
  2. Medical Artificial Intelligence
  3. Network Biology & Network Medicine
  4. Digital healthcare
  5. Data Quality

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