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Department of Chemical Engineering and Biotechnology

Research

My research involves the application of fundamental engineering principles, such as fluid dynamics and structural mechanics, to tackle clinically relevant problems. Specifically, I use computational (in silico) modelling and simulation for: 

  • Improved understanding of cardio(vascular) diseases: Through computational modelling, I aim to discover mechanistic relationships that deepen our understanding of the development and progression of (cardio)vascular diseases. These insights are crucial for devising more effective treatment strategies. 

  • Optimisation of medical devices or therapies: I leverage computational simulations to inform the design, development and optimisation of medical devices or therapies. By analysing the biomechanical and hemodynamic interactions, we can improve the efficacy and safety of existing devices, or even design new ones, for patient use. 

  • Personalised treatment planning: My research also involves the development of predictive tools that can be used for surgical or pre-procedural planning. By tailoring treatment plans to individual patients, we can optimise outcomes and minimise risks. 

 I have worked on various cardiovascular diseases, including aneurysms, stenosis, and heart valve diseases such as aortic valve stenosis, mitral regurgitation, and tricuspid regurgitation. This has led to the development of computational models to assess the biomechanics and hemodynamics associated with relevant treatment, such as stent insertion, transcatheter heart valve replacements and percutaneous repair procedures.  

At the heart of my research is collaboration. I work closely with experts from diverse fields including engineering, physics, mathematics, computer science, radiology, and clinical medicine. This multi-disciplinary approach has paved the way for advancing our understanding of (cardio)vascular diseases and their treatment. Looking ahead, my goal is to integrate cutting-edge technologies such as digital twins, computational simulation, and artificial intelligence to personalise treatment for individual patients. 

 

Biography

Dr Shelly Singh-Gryzbon is an Assistant Professor in the Department of Chemical Engineering and Biotechnology and Fellow at Clare Hall. She received her BSc in Chemical and Process Engineering at The University of the West Indies, followed by an MSc and PhD in Chemical Engineering at Imperial College London. Her doctorate research focused on developing computational models to provide insights into aortic biomechanics in patients with Marfan syndrome. Shelly then did her postdoc with Professor Ajit Yoganathan at the Cardiovascular Fluid Mechanics (CFM) Lab in the Department of Biomedical Engineering, Georgia Institute of Technology. During her postdoc, Shelly developed computational models for investigating prosthetic heart valves, percutaneous repairs, and surgical planning for Fontan patients, and validated these models using in vitro methods. 

Publications

Key publications: 

Full publication list can be found on Google Scholar

 

Selected Publications: 

  1. Natarajan, T., Singh-Gryzbon, S., Chen, H., Sadri, V., Ruile, P., Neumann, F., Yoganathan, A., Dasi, L. “Sensitivity of post-TAVR hemodynamics to the distal aortic arch anatomy – a high fidelity CFD study”, Cardiovascular Engineering Technology, 2024. 

  1. Hatoum, H., Singh-Gryzbon, S., Ruile, P., Neumann, F.J., Blanke, P., Thourani, V., Yoganathan, A., Dasi, L.P. “Predictive Model for Thrombus Formation after Valve Implantation”, Cardiovascular Engineering Technology, 12: 576-588, 2021. 

  1. Wei, Z.A., Ratnayaka, K., Biao, S., Singh-Gryzbon, S., Cetatoiu, M.A., Fogel, M.A., Slesnick, T., Yoganathan, A., Nigro, J. “An Anterior Anastomosis for the Modified Fontan Connection: A Hemodynamic Analysis”, Seminars in Thoracic and Cardiovascular Surgery, 33(3): 816-823, 2021. 

  1. Singh-Gryzbon, S., Ncho, B., Sadri, V., Bhat, S., Kollapaneni, S., Balakumar, D., Wei, Z.A, Ruile, P., Neumann, F.J., Blanke, P., Yoganathan, A. “Influence of Patient-Specific Characteristics on Transcatheter Heart Valve Neo-sinus Flow: an in silico study”, Annals of Biomedical Engineering, 48:2400-2411, 2020.  

  1. Singh-Gryzbon, S., Sadri, V., Toma, M., Wei, Z.A., Pierce, E.L., Yoganathan, A. “Development of a Computational Method for Simulating Tricuspid Valve Dynamics”, Annals of Biomedical Engineering, 47(6): 1422-1434, 2019.  

  1. Singh-Gryzbon, S., Siefert, A.W., Pierce, E.L., Yoganathan, A. “Tricuspid valve annular biomechanics: interactions with and implications for transcatheter devices”, Cardiovascular Engineering Technology, 10(2): 193-204, 2019. 

  1. Wei, Z.A., Sonntag, S., Toma, M., Singh-Gryzbon, S., Sun, W. “Computational Fluid Dynamics Assessment Associated with Transcatheter Heart Valve Prostheses: A Position Paper of the ISO Working Group”, Cardiovascular Engineering Technology, 9(3): 289-299, 2018.  

  1. Singh, S., Xu, X.Y., Wood, N., Pepper, J., Izgi, C., Treasure, T., Mohiaddin, R. “Aortic Flow Patterns before and after Personalised External Aortic Root Support Implantation in Marfan Patients”, Journal of Biomechanics, 49(1): 100-111, 2016. 

Teaching and Supervisions

Teaching: 

CEBT IIA and CET IIB 

Assistant Professor
Shelly Singh Gryzbon

Contact Details

+44 1223 331863
Email address: 
Takes PhD students