
About
Yichen Ding is an Assistant Professor in the Department of Bioengineering at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. His research focuses on integrating advanced microscopy techniques like light-sheet and light-field imaging with machine learning and virtual reality to study cardiovascular structure, function, and regeneration. Specific applications include analyzing cardiac contractility in zebrafish models, myocardial deformation in hypertrophic hearts, and vascular network dynamics in injury/repair scenarios.
Education: Ph.D. in Biomedical Engineering from Peking University (2015), B.S. in Precision Instrumentation from Tsinghua University (2010). His work bridges engineering and medicine, emphasizing multi-scale imaging technologies and computational tools for biomedical discovery. Recent projects involve developing VR tools for surgical planning and real-time volumetric imaging of cardiac mechanics.
Key research themes include:
- Light-sheet microscopy for 4D cardiac imaging
- Machine learning for medical image segmentation/analysis
- Biomechanical modeling of cardiovascular systems
- Cardiac regeneration mechanisms in zebrafish/larval models
Publications consistently address imaging innovation, cardiovascular pathophysiology, and computational approaches to biomedical problems. Current efforts emphasize translating imaging technologies into clinical applications via extended reality platforms.
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