Sheng-Hsuan Lin, M.D., ScD, ScM
National Yang Ming Chiao Tung University
Institute of Statistics
Rm 415, 4F, Assembly Building I, 1001 University Road, Hsinchu 30010, TAIWAN
E-MAIL：shenglin@nycu.edu.tw
TEL：886-3-5712121 ext 56822 (or ext. 56816)
FAX：886-3-5728745
Academic Appointments
Professor, National Yang Ming Chiao Tung University, Institute of Statistics, 2023.08 – Present
Joint Appointment Professor, National Yang Ming Chiao Tung University, Institute of Data Science and Engineering, 2023.08-Present
Adjunct Faculty, National Yang Ming Chiao Tung University, Institute of Traditional Chinese Medicine, 2024.08-Present
Joint Appointment Professor, National Dong Hwa University, Institute of Applied Mathematics, 2024.08–Present
Joint Appointment Professor, National Dong Hwa University, Institute of Biochemical and Molecular Medical Sciences, 2024.08–Present
Education
- Harvard University, School of Public Health (HSPH), Boston, M.A.
- Master of Science (ScM), Department of Biostatistics (2014 – 2016)
- Doctor of Science (ScD), Department of Epidemiology (2011 – 2016)
- Concentration: Epidemiologic Method (Causal inference program)
- Thesis advisor: Dr. Tyler VanderWeele
- Committee members: Dr. Miguel Hernan, Dr. Eric Tchetgen Tchetgen
- Major Field of Study: General epidemiology
- Minor Fields of Study: Biostatistics, Neurological and Psychiatric Epidemiology
- National Taiwan University (NTU), Taipei, Taiwan
- Medical doctor (M.D.), Department of Medicine (2003 – 2010)
Research Highlight
- Methodology: Epidemiologic method, biostatistics, causal inference, mediation analysis, time-varying system
- Application: Epidemiology, decision science, cost-effectiveness analysis, psychiatry, behavior addiction, portable medical device, heart rate variability.
About
Dr. Sheng-Hsuan Lin is an assistant professor in the Institute of Statistics and Institute of Data Science and Engineering, and a Junior Chair Professor at National Chiao Tung University. He received the degree of Medical Doctor (MD) from National Taiwan University in 2010, Master of Science (ScM) from Department of Biostatistics and Doctor of Science (ScD) from Department of Epidemiology at Harvard University in 2016, and spent one year at the Department of Biostatistics at Columbia University as a postdoctoral Research Scientist between 2016 and 2017.
He is the recipient of the 2018 MOST Young Fellowship (Grant of Columbus Program) from Ministry of Science and Technology in Taiwan, of the 2016 Reuel Stallones Student Prize Paper Award from Society of Epidemiology Research (SER), and of the 2019 Young Scholar Research Award from the College of Science at National Chiao Tung University.
Dr. Lin focuses his research in the area of Epidemiologic methods, employing causal inference theory to formalize concepts of mediation and pathway analysis and developing statistical and computational methods for effect decompositions. He is currently working on the methods for causal mediation analysis with time-varying and multiple mediators in complicated systems, extending mediation methods to longitudinal settings, along with corresponding software development. On the applied side, Dr. Lin is actively applying the new methods to investigate the causal mechanism for diseases including Alzheimer’s disease, cardiovascular disease, and the relationship between religion and health. He is also collaborating with clinicians in a neuropsychiatric disorder such as sleep deprivation and behavioral addiction.
Research Support
Principal Investigator
National Science and Technology Council (NSTC)
- Promoting the reputation and influence of domestic statistics discipline: IASC-ARS BoD Ordinary member’s implementation plan in 2025 [NSTC114-2926-I-A49-503-] Project Period: 2024.10.01 – 2025.09.30
- Promoting the reputation and influence of domestic statistics discipline: IASC-ARS Executive Secretary’s implementation plan. [112-2926-I-A49-504] Project Period: 2023.07.01 – 2023.12.31
- Causal Mediation Analysis in longitudinal studies with death truncation and time-varying multiple mediators and precision mediation. [MOST 111-2628-M-A49 -004 -MY3] Project Period: 2022.08.01 – 2025.7.31
- Causal inference and mechanism investigation through machine learning methodology. 108-2636-B-009 -001. Project Period: Feb 1, 2018 – Jan 31, 2023. Principal Investigator. 85% Effort. (USD 1,058,167 – 5 years)
- Causal mediation and interaction analysis with multiple mediators.106-2118-M-009-004-MY2. Project Period: 2017.10.1 – 2019.07.31 Principal Investigator. 70% Effort. (USD 41,600 – 2 years)
Ministry of Education (MOE)
- Course development for causal inference theory-Enhancing media literacy education by applying qualitative causal inference to the criticism of false causal messages. MOE Teaching Practice Research Program. Project Period: 2023.08.01 – 2024.7.31
- Course development of “Advanced Causal Inference” – Adapting “Writing-Intensive Course” framework and “Virtue Peer-Review” field for elevating the literacy for scientific writing.MOE Teaching Practice Research Program.Project Period: 2022.08.01 – 2023.7.31
- Course development for causal inference theory – Integration of problem-based learning and journal reading seminar. MOE Teaching Practice Research Program. Project Period: 2021.08.01 – 2022.7.31
Hospital Collaboration Project
- To assist the Nurse Practitioner Committee in Developing a New Way to Setting Advance Directives Using Healthcare GPT. Integrated research project between Cheng Hsin General Hospital and National Yang-Ming Chiao Tung University. Period: 2025.01.01 – 2025.12.31
Internal Project (NYCU)
- Development of causal machine learning model to investigate pathological mechanism of Parkinson’s Disease mediated and moderated by genomic, transcriptomic, and intestinal microbiomic factors. Period: 2023.09.01 – 2023.12.31
Co-Principal Investigator
National Science and Technology Council (NSTC)
- Integrated Research Project. Principal Investigator: Dr. Tsung-Chieh Yao. Project Title: Utilizing Clinical Big Data and AI Technologies to Construct Personalized Disease Risk Models for Predicting or Preventing the Onset of Pediatric Allergic Diseases. Project Period: 2025.05.01 – 2029.04.30
- Early-Career Research Project. Principal Investigator: Dr. Shih-Chen Fu. Project Title:Precision Profiling of Oral Microbiota in OSCC Patients Using Ensemble Algorithms: Unraveling Biomarkers for OSCC and its Postoperative Complications. [113-2314-B-259-001-MY3] Project Period: 2024.08.01 – 2027.7.31
- Leading International Collaboration in Precision Medicine for MDD: A Novel Genomic-Epigenomic Approach with Clinical, Consortium, and Biobank Data (1/4).[NSTC 113-2628-B-400-002] Period: 2024.08.01 – 2025.7.31
- Analyzing the effects of occupational health policies on overworkrelated diseases: mediating factors, forces that drive national policy change, and potential gaps in the research 107-2314-B-039 -062 -MY3. Project Period: 08.01 – 2021.7.31 (Principal Investigator: Dr. Ro-Ting Lin)
- Testing for Agonistic Interactions for Causal-Pie Modeling in Long-Term Follow-Up Studies 108-2314-B-002 -MY2。Project Period: 08.01 – 2021.7.31 (Principal Investigator: Dr. Tzu-Pin Lu)
Hospital Collaboration Project
- Reconstruction of Spatial Navigation Ultrasound 3D Models Based on Image Deep Learning Project. Cooperation project between Taichung Veterans Hostipal and National Yang-Ming Chiao Tung University. Period: 2025.01.01 – 2025.12.31
Industry Cooperation Project
- Artificial Intelligence for Financial Science and Technology (3rd period). (E.SUN Bank). Project Period: 2023.08.01 – 2024.7.31
Boards
- Medical license in Taiwan (2010.08 – Present)
Professional Affiliations (past and present)
- American Statistics Association (ASA)
- Society for Epidemiologic Research (SER)
- International Society of Pharmacoeconomics and Outcomes Research (ISPOR)
- Occupational Hygiene Association of Taiwan (TOHA)
- The Chinese Institute of Probability and Statistics (CIPS)
- Chinese Statistical Association Taiwan (CSAT)
- Taiwan Public Health Association (TPHA)
Personal Research Social Media and Profile
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