I am a DPhil Candidate at the Oxford Centre for Clinical Magnetic Resonance Research of the University of Oxford, supervised by Prof. Stefan K. Piechnik, Prof. Vanessa M. Ferreira and Dr. Qiang Zhang. My research focus is on developing robust deep learning approaches for accountable contrast-agent-free cardiac magnetic resonance (CMR) imaging in clinical applications. I design novel data-driven methods to automatically derive predictive biomarkers on clinical outcomes. My DPhil programme is funded by the Clarendon Fund Scholarship and Radcliffe Department of Medicine Scholar Programme. Previously, I received my undergraduate degree in Electrical Engineering at UTEC (Peru) and my research training at Yale University (USA) and Lund University (Sweden), where I developed tools for the assessment of diastolic function in CMR, and its relationship to atrial remodeling.