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 Professor in the Institute of Statistics at National Yang Ming Chiao Tung University, with joint appointments in the Institute of Data Science and Engineering, as well as in the Department of Applied Mathematics and the Department of Biochemical and Molecular Medical Sciences at National Dong Hwa University. He received his M.D. from National Taiwan University in 2010, and completed both his Sc.D. in Epidemiology and Sc.M. in Biostatistics at the Harvard T.H. Chan School of Public Health in 2016. He also conducted postdoctoral research in biostatistics at Columbia University.
Dr. Lin’s research expertise lies in epidemiologic methodology, biostatistics, and causal inference, with particular emphasis on mediation analysis, interaction analysis, and the theoretical development of complex causal mechanisms. In recent years, he has continued to develop methods for multiple mediation analysis, causal mechanisms under time-varying systems, causal interpretation in survival data, and mechanistic interaction, and has extended these methods to applications in psychiatry, microbiome research, general medicine, and public health policy.
As of April 2026, Dr. Lin has published more than 80 SCI-indexed international journal articles. His research has also been recognized through a number of major awards and competitive research programs, including the 2nd Leap Lecture Award from the Foundation for the Advancement of Outstanding Scholarship, the 9th Young Scholar Creation Award, the inaugural Professor Wen-Jang Huang Young Statistician Award, the inaugural MOST Young Scholar Fellowship (Columbus Program), and the Reuel Stallones Student Prize Paper Award from the Society for Epidemiologic Research.
Research Support
Principal Investigator
National Science and Technology Council (NSTC)
- Paradigm Shift and Framework Restructuring in Causal Mediation Analysis: Are We Misled by Robins and Pearl’s Standard Definitions? [NSTC 114-2628-M-A49 -002 -MY4] Project Period: 2025.08.01 – 2029.7.31
- 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: 2025.10.01 – 2026.09.30
- 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)
- Regressing “Regression” to its original essence – Enhancing Learning Motivation and Research Awareness through Project-Based Proposal Writing in regression course. MOE Teaching Practice Research Program. Project Period: 2025.08.01 – 2026.7.31
- 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)
- Principal Investigator: Dr. Jacky Chung-Hao Wu. Project Title: Combining Online Learning and Deep Learning for Streaming Predictions. Project Period: 2025.12.01 – 2026.11.30
- 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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