Laboratory of Geriatric Epidemiology and Pharmacoepidemiology
Research Field
Shih-Tsung Huang, Ph.D., Pharm.D. is an Assistant Professor in the Department of Pharmacy at National Yang Ming Chiao Tung University (NYCU). His research focuses on pharmacoepidemiology, healthy aging, frailty, metabolic diseases, drug safety, and health economics and outcomes research (HEOR). His work applies real-world healthcare databases and advanced analytical methods to investigate medication use, treatment effectiveness, and clinical outcomes, with a particular interest in improving health and care for aging populations.
The Huang Laboratory conducts research in real-world evidence (RWE), pharmacoepidemiology, frailty, healthy aging, metabolic diseases, drug safety, and HEOR. We use nationwide healthcare databases and advanced analytical approaches, including causal inference, trajectory analysis, machine learning, and health economic evaluation, to study medication utilization, treatment effectiveness, and healthcare outcomes. We welcome students interested in epidemiology, healthcare data science, and interdisciplinary research.
Pharmacoepidemiology, Aging epidemiology, Aging science, Drug safety assessment, Health economics and outcomes research (HEOR), Clinical pharmacy
- Postdoctoral Research Abroad Program Award, National Science and Technology Council (NSTC), 2023
- Oral Presentation Award, IAGG Asia/Oceania Regional Congress, 2023
- Graduate Student Outstanding Research Award, National Taiwan University, 2022
- Wang Ming-Ning Outstanding Medical Research Award, 2020
Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
Ph.D., Clinical pharmacy, 2018/09-2022/07
Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
M.S., Clinical pharmacy, 2016/09-2017/06
School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
Pharm. D., Pharmacy, 2010/09-2016/06
Job Description
The intern will receive training in pharmacoepidemiology, causal inference, longitudinal data analysis, trajectory modeling, and health economic evaluation using SAS and R. Students will have opportunities to work closely with faculty members and graduate students, participate in research meetings, and gain experience in interdisciplinary and international collaborative research.
Preferred Intern Educational Level
Master’s student in Pharmacy, Public Health, Epidemiology, or a related field, with a Bachelor’s degree in Pharmacy.
Skill sets or Qualities
- Prior experience in real-world evidence (RWE), pharmacoepidemiology, or healthcare database research.
- Proficiency in SAS and R for data management and statistical analysis.