معرفی
Linwei Wang is the Bruce B Bates Endowed Professor in the Department of Computing and Information Sciences at Rochester Institute of Technology (RIT). She leads the Computational Biomedicine Laboratory (CBL), focusing on integrating domain knowledge with machine learning to address critical medical challenges, particularly in cardiac electrophysiology and arrhythmia treatment. Her research bridges physics-based models with data-driven inference, emphasizing personalized healthcare solutions.
Education: PhD in Computing and Information Science from RIT (2009), MPhil from Hong Kong University of Science and Technology (2007), and BE in Optic-Electronic Information Engineering from Zhejiang University (2005).
Research interests include Electrocardiographic Imaging (ECGi), uncertainty quantification in cardiac models, and machine learning for medical data. Key projects involve noninvasive imaging of ventricular tachycardia, improving ECGi accessibility through camera-based systems, and developing hybrid models for personalized cardiac simulations.
Scientific awards include the NSF CAREER Award (2014) and PECASE (2019). Her lab collaborates with institutions like NIH, Siemens Healthineers, and the University of Pennsylvania. Current teaching includes CISC-820 (Quantitative Foundations) and CISC-862 (Computational Modeling).
Grants: NIH R01HL145590 (2019-2024) and NSF awards. Advises numerous PhD students in machine learning and biomedical applications. Lab activities include developing AI tools for real-time clinical guidance and risk prediction in heart failure.
