Ana
Mincholé graduated in Physics from the University of Zaragoza, Spain in 2002.
She also obtained an MSc with
distinction at Chalmers University of Technology, Gothenburg, Sweden, in
the MSc program “Nanoscale Physics and Engineering”. She then started a PhD in
Biomedical Engineering at the Communication Technology Group at the University
of Zaragoza, Spain supervised by Prof. Pablo Laguna. Her PhD focused on the analysis of the electrocardiographic signal and
the development of novel ECG biomarkers for the stratification of arrhythmic
risk. During her PhD, she conducted research visits to the Laboratory for
Biomedical Computer Systems and Imaging at the University of Ljubljana,
Slovenia, with Prof. Franc Jager, and to the Argentinian Institute of
Mathematics, CONICET with Dr Pedro Arini and Dr Marcelo Risk. After her PhD and
a short postdoc experience in the European preDiCt project at the University of
Oxford, she was awarded a Marie Curie
Intra-European Fellowship for Career Development and joined Prof. Blanca
Rodriguez’ group at the Department of Computer Science at the University of
Oxford, UK. After the fellowship, she continued working at the University of Oxford holding the
position of Senior Research Associate until 2019. Then, she moved to the
University of Zaragoza to join the Multiscale in Mechanical and Biological
Engineering group within the European PRIMAGE project where she applied her
expertise in multiscale modelling and simulation and high-performance computing
to model tumour growth.  In 2020, she was awarded a Ramón y Cajal Senior Research Fellowship from the Spanish
Ministry of Science and Innovation and joined the Biomedical Signal
Interpretation and Computational Simulation (BSICoS) group at the University of Zaragoza in 2021. 

Her
research interests include the development and evaluation of synergistic
data-driven approaches where modelling and simulation are used to integrate
biomedical data at different scales in the investigation of cardiac
pathological conditions. This is in line with her expertise in the combination
of computational modelling and
simulation of physiological processes, biomedical
signal analysis and machine learning
techniques to stratify risk either drug-induced or due to pathological
conditions.