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Dr. Yap's research work focuses on computational cardiovascular biomechanics, employing deep learning computations to process cardiovascular images. He utilizes MRI and ultrasound image-based flow and myocardial finite element simulations to investigate cardiac biomechanics, making novel contributions particularly in elucidating the biomechanics of healthy and diseased human, fetal, small animal, and embryonic hearts. Dr. Yap collaborates with clinicians to advance fetal heart interventions and early interventions for congenital heart malformations. Additionally, he has developed deep learning techniques for biomechanics simulations, physics-informed simulation guided networks, and deep learning image processing techniques for quantifying cardiac anatomy and function using clinical images. He is involved in reconstructing cardiovascular anatomy from clinical images. His efforts are aimed at developing new biomechanics markers to predict disease outcomes and creating new imaging systems that minimize costs and user skill requirements to expand access to critical clinical imaging. Dr. Yap also researches materials strategies for cardiovascular medical devices, including haemostatic technologies and anti-thrombotic materials for blood pumps, focusing on surface interaction properties to modulate thrombosis responses.
University of Pittsburgh • Pittsburgh, PA, USA
Conducted advanced research in cardiovascular biomechanics.
National University of Singapore • Singapore
Developed curriculum and conducted research in bioengineering.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.