معرفی
Julia Camps is a postdoctoral research associate at the University of Oxford, Department of Computer Science. Her work bridges Computational Biology and Health Informatics, focusing on cardiac digital twin development for precision medicine applications. She specializes in combining data-driven and mechanistic approaches for in silico clinical trials, particularly through Purkinje network modeling and ECG-based calibration.
- Education: Informatics Engineer (2014) and Master's in Artificial Intelligence (2015-2017) from Universitat Politècnica de Catalunya
- PhD in Computer Science (2017-2021) at Oxford, completed within the Computational Cardiovascular Science research group under Prof Blanca Rodriguez
- Current role: postdoc in Prof Rodriguez's group since 2021, focusing on post-myocardial infarction disease progression
- Software development: open-source cardiac digital twin tools available on GitHub
Her research interests center on creating patient-specific cardiac digital twins using multimodal clinical data. This work enables virtual therapy evaluation and in silico clinical trials through:
- Integration of statistical inference and machine learning techniques
- Development of Purkinje network models from clinical ECG data
- Electrophysiological and repolarization sequence modeling
- Gait detection algorithms for Parkinson's disease applications
Recent publications (2024-2025) demonstrate trends in:
- GPU-accelerated cardiac electrophysiology simulations (MonoAlg3D)
- Topology-informed ECG electrode localization
- Sex-specific electromechanical cardiac modeling
- Multi-modal characterisation of diabetic cardiac deterioration
- Pro-arrhythmic risk assessment for stem cell therapies
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