CV

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Relevant Experience

Academic Collaborator | HES-SO Valais-Wallis (Sierre, CH) Oct/2025 – Present

Full-Stack Engineering (MSXplain w/ UNIBAS, EPFL, UNIL): Engineered a complete web application (Python/React) for the automatic segmentation of Multiple Sclerosis (MS) lesions from MRI scans. Integrated automated report generation and ORTHANC/OHIF as PACS and advanced medical visualization.
Strategic Leadership (QuantImage): Managing the evolution of the QuantImage medical ML training platform. Driving architectural upgrades and feature development across both the backend and frontend.
Clinical AI & Data Engineering: Leading the extraction and depersonalization of longitudinal hospital data (LETITIA project w/ EPFL, CHUV) to build and validate medical AI prototypes. Concurrently assisting Master’s students by engineering the machine learning pipelines for their radiomics research.

Researcher Assistant | HES-SO Valais-Wallis (Sierre, CH) Sep/2023 – Sep/2025

QuantImage Operations: Maintained platform infrastructure, managed SQL databases, and designed new features to improve the interpretability and presentation of application results.
Genomic LLMs (Hereditary Project): Evaluated and synthesized methodologies of state-of-the-art self-supervised models (DNABert, HyenaDNA, Nucleotide Transformer) using omics data. Authored a comprehensive review paper, accepted for publication in the Briefings in Bioinformatics journal.
3D Spatial Analysis (Ither Project): Utilized HoloLens 2 and customized Mask3D for 3D reconstruction and semantic instance segmentation. Extracted Pointcloud/Mesh data using a modified hl2ss repository and containerized both algorithms via Docker for system portability.

International Experience & Independent Research | Ireland & Australia Oct/2017 – Mar/2020

Professional Growth: Relocated to Ireland and Australia to achieve Professional English Proficiency (C1). Managed high-pressure duties as a chef, developing resilience and strong teamwork in fast-paced environments.
Scientific Continuity: Maintained research collaboration with Prof. David Moratal, resulting in a peer-reviewed publication: Link-level functional connectivity neuroalterations in autism spectrum disorder: A developmental resting-state fMRI study.

Joint Master’s in Medical Imaging and Applications (MAIA) | 2021 – 2023
Erasmus Mundus Grant. Univ. of Girona (ES), Univ. of Burgundy (FR), UNICAS (IT)
- Master Thesis (HES-SO): Developed a deep learning model using Self-Supervised Learning and Multiple Instance Learning on 1,000+ Whole Slide Images (1M+ tiles). Publication: Presented results at the SPIE Medical Imaging 2024 conference in San Diego. [GitHub repository] [Proceeding paper]
- Academic Projects: Engineered deep learning pipelines for complex medical image analysis, specifically executing image classification (CAnDy_SkinLesion), image registration (chest_ct_registration), and semantic segmentation (BrainTissue_Segmentation_IBSR18).
Bachelor’s in Biomedical Engineering — UPV (Valencia, ES) — 2013 – 2017
- Focus: Specialized in Medical Image Analysis and Machine Learning methods aimed at developing Computer-Aided Diagnosis (CAD) systems.

Programming: Python, JavaScript (React), SQL, Bash, LaTeX, MATLAB
Machine & Deep Learning: PyTorch, Hugging Face, TensorFlow, Scikit-learn, MONAI, Weights & Biases (WandB)
Agentic AI & Dev Tools: Claude Code, GitHub Copilot Pro, Docker, Git, Linux
Computer Vision & Medical: OpenCV, Open3D, SimpleITK, QuPath, OpenSlide, Albumentations
Data & Compute: CUDA, Multiprocessing, NumPy, Pandas, SciPy