Dr Winnie Chua

Dr Winnie Chua

Institute of Cardiovascular Sciences
Post-Doctoral Researcher

Contact details

Institute of Cardiovascular Sciences
1st Floor, Institute of Biomedical Research
College of Medical and Dental Sciences
University of Birmingham
B15 2TT

Dr Chua is a Post-Doctoral Researcher at the Institute of Cardiovascular Sciences. She engages in research identifying factors which contribute to atrial fibrillation and is interested in translating these outcomes to impact patient care. Her work involves UK and European collaborators in Germany, Spain, Netherlands, and France.


  • Post-Doctoral Researcher
  • PhD in Psychology, University of Birmingham (2015)
  • B.A. in Psychology (Hons), Malaysia (2008)


Dr Chua completed her Doctoral studies under Professor Alan M. Wing at the School of Psychology, College of Life and Environmental Sciences where she studied cognitive mechanisms of movement and timing control in health persons and stroke patients.

Dr Chua currently works in the Translational Research on Heart Failure and Arrhythmia group at the Institute of Cardiovascular Sciences, led by Professor Paulus Kirchhof and Dr Larissa Fabritz. Her main interest is on using statistical and computational modelling on heterogenous data to identify patterns of clinical and mechanism-based factors which contribute to incident and recurrent atrial fibrillation.

She is also involved in the development and application of mobile apps to facilitate healthcare professional and patient communication, encouraging patient empowerment and joint-decision making in healthcare settings.

She is keen to better understand the association of atrial fibrillation and cognitive decline to identify the potential mechanisms of these associations which would inform strategies of atrial fibrillation management and prevent adverse cognitive outcomes in patients with atrial fibrillation.

Dr Chua is actively engaged in the CATCH ME Consortium (H2020 EU Framework) and the BigData@Heart Consortium (EU/EFPIA Innovative Medicines Initiative 2).

In this video Winnie along with Professor Jon Deeks discuss their collaboration to discover and evaluate biomarkers associated with Atrial Fibrillation.

Postgraduate supervision

Dr Chua currently works with a PhD Researcher to develop machine learning strategies of visualising and analysing clinical datasets.


Research aim:

  • Personalise prevention and management of care in patients with atrial fibrillation
  • Development and validation of prognostic models in atrial fibrillation
  • Individual Patient Data (IPD) analyses of combined datasets
  • Big data and machine learning techniques for cardiovascular data
  • Development of mobile apps for guideline adherent therapy and patient engagement
  • Association of atrial fibrillation and cognitive impairment

Other activities


Kotecha D, Chua W, Fabritz L, Hendriks J, Casadei B, Schotten U, Vardas P, Heidbuchel H, Dean V and Kirchhof P (2017). European Society of Cardiology (ESC) smartphone and tablet applications for patients with atrial fibrillation and their healthcare providers. Europace.

Chua W, Fabritz L, Hemming K, Casadei B, Dimopoulou C, Haase D, Hatem S, Kääb S, Mont L, Schotten U, Sinner MF, Stoll M, Wakili R and Kirchhof P. (2017). Designing a combined database for development of a clinical prediction model integrating mechanisms causing AF. Poster presented at the 15th Dutch-German Joint Meeting of the Molecular Cardiology Working Groups. 

Fabritz L, Guasch E, Antoniades C, Bardinet I, Benninger G, Betts TR … Kirchhof, P (2015). Defining the major health modifiers causing atrial fibrillation: A roadmap to underpin personalized prevention and treatment. Nature Reviews Cardiology, 13, pp. 230-237

View all publications in research portal