معرفی
Na Li is an Adjunct Assistant Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. Her interdisciplinary research bridges computational methods with clinical hematology through extensive collaborations with transfusion medicine experts.
- Key contributions in biostatistical modeling for immune thrombocytopenia diagnosis
- Innovations in healthcare logistics for blood product management
- Pioneering AI-human collaboration frameworks for electronic health record analysis
Her scholarly work spans machine learning applications in disease detection, operational research for blood inventory optimization, and clinical decision support systems development. Recent publications demonstrate integration of large language models with medical expertise for improved diagnostic accuracy.
Notable research themes include:
- Pandemic resource allocation fairness
- Perioperative anticoagulant management
- Platelet transfusion analytics
- Blood product demand forecasting
- Privacy-preserving federated learning
Her work has been cited extensively across transfusion medicine, critical care, and healthcare technology domains, with implementations in major clinical trials and policy documents.
