Temporally Detailed Hypergraph Neural ODEs for Type 2 Diabetes Progression Modeling
Published in International Conference on Learning Representations (ICLR).
CV
Education / Training
- Postdoc in Biomedical Informatics, University of Florida, 2024
- Ph.D in Computer Science, National Yang Ming Chiao Tung University, 2022
- B.B.A. in Information Management, National Kaohsiung First University of Science and Technology, 2015
Positions
- Assistant Professor, Department of Biostatistics and Health Data Science, Indiana University School of Medicine (2024 - Present)
- Investigator, Clem McDonald Center for Biomedical Informatics, Regenstrief Institute (2024 - Present)
- Adjunct Professor, Weldon School of Biomedical Engineering, Purdue University (2024 - Present)
Awards
- 2025 US NAM Catalyst Award, National Academy of Medicine
2025 Pilot Funding, IU Lab
- Dissertation Awards
- 2022 IICM Ph.D. Dissertation Award, Institute of Information & Computing Machinery
- 2022 IEEE Ph.D. Dissertation Award, IEEE CIS Taipei Chapter
- 2022 TAAI Ph.D. Dissertation Award, Taiwanese Association for Artificial Intelligence
- 2019 Best Student Paper Award Runner Up, Springer ADMA 2019
- Awards of Outstanding Students
- 2021 National Yang Ming Chiao Tung University
- 2016 - 2020 National Chiao Tung University
- 2014 National Kaohsiung First University of Science and Technology
- Travel Awards
- 2019, PAKDD 2019 & MCEA Joint Travel Grants, Macao Convention & Exhibition Association
- 2017, International Travelling Award of MOST, Ministry of Science and Technology, R.O.C
Research Interests
- AI-driven modeling of health outcomes and disease progression
- Fair machine learning with real-world data (RWD) to advance health equity
- Multimodal data (physiological signals, EHRs, medical imaging) modeling and analysis
- Health digital twins
- Disease subphenotyping and progression pathway identification
Selected Publications
Identifying Alzheimer’s Disease Progression Subphenotypes via a Graph-based Framework using Electronic Health Records
Published in Journal of Healthcare Informatics Research.
From Image to Report: Automating Lung Cancer Screening Interpretation and Reporting with Vision-Language Models
Published in Journal of Biomedical Informatics. (SCI/EI 2023 IF = 4.0)
Optimizing Strategy for Lung Cancer Screening: From Risk Prediction to Clinical Decision Support
Published in JCO Clinical Cancer Informatics.
Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment
Published in arXiv.
An Interpretable Population Graph Network to Identify Rapid Progression of Alzheimer’s Disease Using UK Biobank
Published in AMIA Annual Symposium Proceedings.
A Fair individualized polysocial risk score for identifying increased social risk in type 2 diabetes
Published in Nature Communications. (SCI/EI 2023 IF = 14.7)
Evolution of digital twins in precision health applications: a scoping review study
Published in NPJ Digital Medicine. (SCI/EI 2023 IF = 15.2)
A scoping review of fair machine learning techniques when using real-world data
Published in Journal of Biomedical Informatics. (SCI/EI 2021 IF = 8.0)
Neural Network to Identifying Type 2 Diabetes (T2D) Progression Subphenotypes
Published in American Diabetes Association.
A novel constraint-based knee-guided neuroevolutionary algorithm for context-specific ECG early classification
Published in IEEE Journal of Biomedical and Health Informatics. (SCI/EI 2021 IF = 7.021)
Snippet policy network v2: Knee-guided neuroevolution for multi-lead ecg early classification
Published in IEEE Transactions on Neural Networks and Learning Systems. (SCI/EI 2021 IF = 14.255)
Spatio-attention embedded recurrent neural network for air quality prediction
Published in Knowledge-based Systems. (SCI/EI 2021 IF = 8.139)
Snippet policy network for multi-class varied-length ECG early classification
Published in IEEE Transactions on Knowledge and Data Engineering. (SCI/EI 2021 IF = 9.235)
Prenatal exposure to air pollutants and childhood atopic dermatitis and allergic rhinitis adopting machine learning approaches: 14-year follow-up birth cohort study
Published in Science of the Total Environment. (SCI/EI 2021 IF = 10.753)
Talks
Real-World Data to Real-World Evidence: Successes, Challenges, and Opportunities
Talk at Sanofi, Virtual
Health Digital Twin: AI and Machine Learning Meet Real-world Data
Talk at Center for Artificial Intelligence, Wake Forest University, Winston-Salem, North Carolina
Preconference Course: Artificial Intelligence for Pharmacoepidemiology Research: An Introduction (Types of machine learning methods and algorithms)
Talk at International Society for Pharmacoepidemiology, Mid-Year Meeting, Orlando, Florida
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D)
Talk at American Diabetes Association’s (ADA) 83rd Scientific Sessions, San Diego, California
Care coordination and patient safety outcome: a network study: Celebration of Research
Talk at University of Florida, Gainesville, Florida
Professional Services
- Journal Reviewer
- IEEE Transactions on Artificial Intelligence (TAI)
- IEEE Transactions on Cybernetics (TCYB)
- IEEE Transactions on Evolutionary Computation (TEVC)
- IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
- IEEE Transactions on Intelligent Transportation Systems (T-ITS)
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Computational Intelligence Magazine (CIM)
- IEEE Journal of Biomedical and Health Informatics (JBHI)
- IEEE Internet of Things Journal (IoT-J)
- ACM Transactions on Intelligent Systems and Technology (TIST)
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- ACM Transactions on Management Information Systems (TMIS)
- Applied Intelligence
- Information Sciences
- Engineering Applications of Artificial Intelligence
- World Scientific Annual Review of Artificial Intelligence
- Journal of Clinical and Translational Science
- Conference Program Committee Member
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) [2022, 2023, 2024, 2025]
- AAAI Conference on Artificial Intelligence (AAAI) [2022, 2023, 2024, 2025]
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) [2023, 2024]
- International Conference on Advances in Social Networks Analysis and Mining (ASONAM) [2024]