Zhinuo (Jenny) Wang
Zhinuo (Jenny) Wang
My research interest is on investigating the electromechanical function and dysfunction of human hearts by exploiting computational modelling and simulations methods to augment clinical data. Specifically, my current interest is investigating both mechanical dysfunction and arrhythmic risk of post-myocardial infarction human hearts, using fully coupled human-based biventricular modelling and simulation, personalised to clinical magnetic resonance imaging (MRI) and electrocardiogram (ECG) patient data.
- (2020): Head of Department Commendation Recognition Award, Department of Computer Science, University of Oxford. Management of very challenging and crucial external collaboration with Barcelona Supercomputing Centre on the development of Alya software for electromechanical simulations.
- (2020): Best Remote Poster Presentation, Annual Conference Computing in Cardiology. A human-base biventricular strongly coupled electromechanical model for post myocardial infarction.
- (2020): Issue Cover Image for article published in International Journal of International Journal for Numerical Methods in Biomedical Engineering: https://onlinelibrary.wiley.com/doi/10.1002/cnm.3331
- (2019) Post-doctoral runner-up Best Poster Award, Gordon Research Conference on Cardiac Arrhythmia Mechanisms (Endorsed by Journal of General Physiology) Modelling the electrophysiology of disopyramide drug action of hypertrophic cardiomyopathy myocardium at both cellular and ventricular scales.
- (2019) Travel Grants: British Heart Foundation CoRE, Lockey Grant, UK. Poster and oral presentation at the 2019 Gordon Research Conference and Seminar on Cardiac Arrhythmia Mechanisms in Italy.
- (2016) Finalist for Early Career Researcher Award, 19th Scientific Session of the Society for Cardiovascular Magnetic Resonance, USA.
- (2013) Doctoral Scholarship, University of Auckland, NZ.
My background is in Biomedical Engineering, and I did my Bachelors (2010-2013) and subsequent PhD degree (2014-2018) in this subject at the University of Auckland, in the Auckland Bioengineering Institute. The supervisors for my doctorate degree were Prof Martyn Nash, Dr Vicky Wang, Prof Alistair Young, and Dr Christopher Bradley. During my PhD, I used finite element modelling to estimate the passive and active mechanical properties of the myocardium in human heart failure patients. We had a collaboration with cardiologists at the St Francis Hospital in NY, who provided cine MRI and catheter pressure measurements for 28 subjects, with both HFpEF and HFrEF (as well as control) phenotypes. From this work, we were able to provide preliminary results on tissue stiffness differences between HF groups and set up a framework for more local clinical collaborations, which are currently underway in Auckland, New Zealand.
I finished my PhD in January 2018 and started my first post-doc with Dr Alfonso Bueno-Orovio at the University of Oxford in April 2018. This project was focused on investigating the electrophysiology and arrhythmic risk of HCM patients using biventricular computational modelling and simulation techniques.
In October 2019, I started my current, second, post-doc with Professor Blanca Rodriguez at the same group. My current project is on investigating the electromechanical properties of post-myocardial infarction patients and evaluating their arrhythmic risk using biventricular simulations.
In−silico human electro−mechanical ventricular modelling and simulation for drug−induced pro−arrhythmia and inotropic risk assessment
Francesca Margara‚ Zhinuo J Wang‚ Francesc Levrero−Florencio‚ Alfonso Santiago‚ Mariano Vázquez‚ Alfonso Bueno−Orovio and Blanca Rodriguez
In Progress in biophysics and molecular biology. Vol. 159. Pages 58–74. 2021.
Inference of ventricular activation properties from non−invasive electrocardiography
Julia Camps‚ Brodie Lawson‚ Christopher Drovandi‚ Ana Minchole‚ Zhinuo Jenny Wang‚ Vicente Grau‚ Kevin Burrage and Blanca Rodriguez
In Medical Image Analysis. Pages 102143. 2021.
COSMAS: a lightweight toolbox for cardiac optical mapping analysis
Jakub Tomek‚ Zhinuo Jenny Wang‚ Rebecca−Ann Beatrice Burton‚ Neil Herring and Gil Bub
In Scientific reports. Vol. 11. No. 1. Pages 1–17. 2021.