π Ph.D. Applicant | AI in Medicine | Clinical Informatics
π₯ Assistant Researcher & Intelligent Medical Project Manager
π Ningbo Digital Twin Institute, Eastern Institute of Technology
Click to switch between: 𧬠PhD | π€ AI Researcher | π©Ί Medical AI
- Computational Medicine & Biomedical Signal Processing: Non-contact cardiac monitoring, physiological signal analysis
- Clinical Machine Learning: Predictive models for rare inpatient events, model calibration and real-time deployment
- Digital Health & Implementation Science: Wearable systems, pragmatic trials, and clinical integration
- MEng in Electronic Information, Hohai University (2021-2024) | GPA: 3.38/4
- Assistant Researcher at Ningbo Digital Twin Institute (2024-Present)
- Research Assistant at Huazhong University of Science and Technology (2022-2023)
| Status | Journal | Impact Factor | Title |
|---|---|---|---|
| π Under Review | Diabetes Care | 17.0 | Predicting Next-Day Inpatient Hypoglycemia Risk Using Machine Learning |
| π Under Review | J. Med. Internet Res. | 7.0 | Comparative Effectiveness of AI-Driven Follow-Up Systems |
| π Under Review | Applied Soft Computing | 6.6 | MSMF-DBNet: Dual-Branch Model for Pulmonary Disease Recognition |
| Project | Description | Tech Stack | Status |
|---|---|---|---|
| Hypoglycemia Predictor | GMM-optimized ML model for inpatient risk prediction | Python, sklearn, XGBoost | π Under Review |
| AI Follow-up System | Automated NLP + ASR pipeline for clinical follow-up | FastAPI, PyTorch, Transformers | π Under Review |
| Peter Pan Project | AI-driven pediatric health monitoring and intervention system | Python, TensorFlow, Mobile App | π¬ In Development |
| DFU Classifier | CNN-based diabetic foot ulcer grading system | CNN, Grad-CAM, Medical Imaging | π¬ In Development |
# Core Technologies
programming = ["Python", "MATLAB", "R", "C++", "SQL"]
ml_frameworks = ["TensorFlow", "PyTorch", "scikit-learn", "XGBoost"]
biomedical = ["Signal Processing", "Medical Imaging", "Clinical Data Mining"]
research = ["Mixed-Methods", "Statistical Analysis", "Grant Writing"]- 5 Invention Patents (First Inventor: 3, Co-Inventor: 2)
- 2 Software Copyrights for medical monitoring systems
- Β₯400,000 Research Funding as Principal Investigator
- 3 Published Papers in Q1/Q2 journals
- Diabetic Foot Multimodal Neuropathy Warning System: AI-powered early detection and risk stratification
- Dynamic Hypoglycemia Prediction Model: Multi-center validation with real-time clinical decision support
- AI-Driven Telehealth Intervention: Integration with TCM pathways and pragmatic trial implementation
- Digital-Intelligence Assessment for Sarcopenia (2025-2027)
- Funding: Β₯400,000 (Total: Β₯3,000,000)
- Scope: Multimodal AI assessment, wearable intervention devices
- Collaborators: Ningbo TCM Hospital, CAS Institute, NBU Affiliated Hospitals
- Peter Pan Pediatric Health System: AI-driven monitoring and intervention for children's health
- Comparative Follow-up RCT: Human vs AI-driven vs SMS interventions
- Green Building Performance: Facility management optimization under dual carbon goals
- Trial Registration: 2025_MR-33-23-049768_ComparativeFollowUpRCT
- IRB Approval: 2024_IRB_FAH_Ningbo_HUMAN_APPROVAL
- Ethics Waiver: 2024 Yan 050RS (Retrospective EHR study)
- Ningbo Municipal Hospital of Traditional Chinese Medicine
- The First Affiliated Hospital of Ningbo University
- The Second Affiliated Hospital of Ningbo University
- Huazhong University of Science and Technology
- GMM-Optimized Machine Learning Model for Next-Day Hypoglycemia Risk Prediction
- Peter Pan Pediatric Health System - AI-driven children's health monitoring and intervention
- Comparative Effectiveness Trial of AI-Driven vs Traditional Follow-up Systems
- Computational Medicine: Non-contact physiological monitoring, AI-driven diagnostics
- Clinical Machine Learning: Rare event prediction, model calibration, real-time deployment
- Digital Health: Wearable systems, pragmatic trials, clinical integration
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