• Conducted advanced research on left atrial hemodynamics, focusing on implementing 4D Flow MRI, computational fluid dynamics, and deep learning to enhance cardiovascular disease prognosis.• Derived pulsed‑wave Doppler‑like velocity spectrograms from 4D Flow MRI to improve assessments of left ventricular diastolic function, particularly in cases where standard echocardiographic evaluation is challenging.• Developed graph‑based and physics‑informed neural network models allowing… Show more • Conducted advanced research on left atrial hemodynamics, focusing on implementing 4D Flow MRI, computational fluid dynamics, and deep learning to enhance cardiovascular disease prognosis.• Derived pulsed‑wave Doppler‑like velocity spectrograms from 4D Flow MRI to improve assessments of left ventricular diastolic function, particularly in cases where standard echocardiographic evaluation is challenging.• Developed graph‑based and physics‑informed neural network models allowing real‑time prediction of patient‑specific hemodynamics to optimize left atrial occlusion device placement and reduce the risk of postoperative complications.• Presented and published research findings at multiple international conferences and high‑impact medical imaging and cardiovascular journals. Show less

Desarrollo de una arquitectura de deep learning para evaluar el riesgo de trombogénesis en el apéndice de la auricula izquierda

• Developed a robust, open‑source computational framework for analyzing multicenter 4D Flow MRI data of the left atrium, enabling detailed qualitative and quantitative assessments of complex hemodynamic parameters.• Applied deep learning methods for denoising and super‑resolution of low‑field strength 4D Flow MRI data, enhancing image quality and improving accuracy in hemodynamic analysis.

Development of a blockchain platform for EHR (Electronic Health Records) exchange based on Hyperledger Fabric by Linux

As a Bachelor's Thesis student, I worked in the Bioinformatics department in the following fields:- Transcriptomics- RNA deconvolution identifiability- Optimization of the primer lengths for RNA-seq experiments

Nanophotonics, optimization of a custom-made SPR (Surface Plasmon Resonance) platform

Predictive models of RNA splicing events