Main Current Position (2026–Present)
Senior Biomedical Engineer · Neuroradiology Section, Radiology Department (IDI), Vall d'Hebron University Hospital (VHIR)
Collaborating Senior Researcher at Hospital Clínic de Barcelona (IDIBAPS) · Teaching Collaborator (AI & Data Science) at UOC
Bridging advanced biomedical engineering methodologies with clinical neuroradiology and higher education.
I am a Senior Biomedical Engineer specializing in computational neuroimaging and artificial intelligence. In my main current appointment at Vall d'Hebron University Hospital (VHIR / IDI, 2026–Present), together with my collaborative postdoctoral research at Hospital Clínic de Barcelona (IDIBAPS) and teaching collaborations at UOC, my work focuses on developing translational image processing pipelines, deep learning algorithms, and advanced biophysical MRI modeling for neurological disorders—particularly Multiple Sclerosis (MS) and autoimmune neuroimmunological conditions.
My primary scientific contributions focus on characterizing subtle white and gray matter microstructural changes through advanced diffusion MRI (μFA, DTI), authoring major reviews on dMRI, lesion segmentation, optic nerve imaging and artificial intelligence in neurology, reconstructing optic pathways via fiber tractography, and conducting multilayer connectomics to understand how pathology disrupts structural and functional brain networks.
Four interconnected axes grounded in first-author, review, and senior contributions across dMRI, lesion segmentation, optic nerve imaging, and AI.
Comprehensive state-of-the-art review and biophysical modeling: Microscopic Fractional Anisotropy (μFA), DTI, and non-Gaussian diffusion to characterize slowly expanding lesions (SELs), microstructural damage, and long-term disability accumulation in Multiple Sclerosis (Semin Ultrasound CT MR review 2021, Elsevier 2026, JNNP 2025/2023).
Comprehensive state-of-the-art reviews and translational deep learning pipelines: Longitudinal multiple sclerosis lesion segmentation reviews, artificial intelligence in MS, convolutional neural networks (CNNs), lesion probability mapping, synthetic MRI, and prognostic machine learning (Neuroradiology review 2022, Curr Neurol Neurosci Rep review 2024, BMC Med Imaging, Magn Reson Med).
State-of-the-art review on MRI optic nerve segmentation, high-order diffusion tractography reconstruction frameworks for the optic radiation in clinical/surgical planning, and trans-synaptic visual pathway neurodegeneration (Mult Scler Relat Disord review 2025, PLoS ONE 2015, Hum Brain Mapp 2021).
Multilayer and multiplex graph theory integrating structural, morphological, and functional brain networks to identify dysfunction patterns, cognitive decline trajectories, and network collapse in neuroimmunology (Netw Neurosci 2022, Mol Psychiatry 2023, Neuroimage Clin 2024).
Active positions and research trajectory across leading clinical and academic institutions.
Leading advanced neuroimaging post-processing pipelines (QSM χ-separation, DWI, MRF, BIDS automation), artificial intelligence model development for MS lesion phenotypes, and clinical neuroradiology research integration.
Advanced image processing, structural and functional connectomics, and biophysical modeling in Multiple Sclerosis and neuroimmunological disorders (Supervisor: Dr. Sara Llufriu Duran).
Course Instructor for Artificial Intelligence (Master in Computational & Mathematical Engineering), Statistical Bioinformatics & Machine Learning (Master in Bioinformatics & Biostatistics), and Master's Final Projects (TFM) supervision in Data Science.
Conducted PhD research on diffusion MRI tractography, white matter fiber reconstruction frameworks, and brain structural connectivity in Multiple Sclerosis.
Conducted biomedical research fellowship in neuroimaging processing and anatomical volumetric analysis.
Academic degrees and doctoral specialization in biomedical engineering and medicine.
Thesis: Development of an improved framework for tractography reconstruction of white matter fibers based on diffusion-weighted magnetic resonance imaging and its implementation in the study of structural connectivity in patients with multiple sclerosis.
Supervisors: Dr. Sara Llufriu Duran and Dr. Alberto Prats Galino.
Advanced specialization in Big Data architectures, machine learning algorithms, statistical data analysis, and scalable computing.
Master's Thesis: Development and calibration of the portable gamma camera in SPECT imaging with parallel collimator.
Final Year Research: Extraction of carboxylic acids using high-performance liquid chromatography (HPLC) at Université ENSACIET · Laboratoire de Chimie Agro-Industrielle in Toulouse, France (Oct 2005 – Jun 2006).
Competitive R&D projects funded by national and international agencies in which I participate as a team member.
| Code | Project Title & PI | Funding Agency / Institution | Duration | Role |
|---|---|---|---|---|
| PI24/00567 |
El acúmulo de la discapacidad en la esclerosis múltiple: modelos combinados de daño, reparación y reserva cerebral y medular en neuroimagen y biomarcadores sanguíneos PI: Llufriu Duran, Sara |
Instituto de Salud Carlos III (ISCIII) | 01/01/2025 – 31/12/2027 | Team Member |
| 2021-SGR-01325 | Grup d'Imatge Avançada en Malalties Neuroimmunològiques (ImaginEM) | Agència de Gestió d’Ajuts Universitaris i de Recerca (AGAUR) | 01/01/2022 – 31/12/2024 | Team Member |
| PI21/01189 | Neuroimaging multi-modal approach to understand mechanisms of tissue DAmage in Multiple sclerosis patients and predictive models (daMoS) | Instituto Carlos III (Ministerio de Ciencia e Innovación) · IDIBAPS | 01/01/2022 – 31/12/2024 | Team Member |
| EME-REEM 2023 |
Asociación de los niveles de GFAP y NFL en suero con el daño neuroaxonal y la progresión en la esclerosis múltiple PI: Llufriu Duran, Sara |
Esclerosis Múltiple España | 25/10/2023 – 25/10/2024 | Team Member |
| TV3_Ictus_17 | Blood brain barrier disruption after subarachnoid hemorrhage: clinical relevance, role of hyperglycemia and effect of potentiating endogenous antioxidant mechanisms. A translational study | Fundació La Marató de TV3 · IDIBAPS | 10/07/2018 – 31/01/2023 | Team Member |
| PI18/01030 | Rehabilitación cognitiva y plasticidad cerebral en la esclerosis múltiple: en búsqueda de la evidencia | Instituto de Salud Carlos III (FIS-ISCIII) · IDIBAPS | 01/01/2019 – 31/12/2021 | Team Member |
| PI15/00587 | Biomarcadores de resonancia magnética avanzada en esclerosis múltiple: asociación con el perfil clínico evolutivo y el sustrato genético | Instituto de Salud Carlos III (ISCIII) · IDIBAPS | 01/01/2016 – 30/11/2020 | Team Member |
| CEIC 7965 | Non-conventional MRI as predictive marker of treatment response | TEVA Spain SLU · IDIBAPS | 01/03/2013 – 31/12/2018 | Team Member |
| Merck Salud | Rehabilitación cognitiva y plasticidad cerebral en la Esclerosis Múltiple: evaluación a través de un ensayo clínico aleatorizado y controlado | Fundación Merck Salud · IDIBAPS | 01/06/2017 – 01/07/2021 | Team Member |
Academic supervision and advising for Master's Final Projects (TFM) across data science, artificial intelligence, and cognitive neuroscience.
Program: Master's Thesis in Brain and Cognition · Universitat Pompeu Fabra (UPF)
Institution: Universitat Oberta de Catalunya (UOC) · University Master in Data Science
Subject: M2.980 – M2.880 · TFM - Area 3 (12 ECTS credits)
Course instruction, academic mentoring, and evaluation of over 40 successfully approved Master's Final Projects (TFM) in Data Science, with a focus on machine learning algorithms, deep learning (CNNs, nnU-Net, GANs), brain network analysis, graph theory, and automated multiple sclerosis lesion segmentation.
Master's Degree in Computational & Mathematical Engineering (UOC)
Interuniversity Master in Bioinformatics & Biostatistics (UOC · UB)
Teaching collaborations as Course Instructor and Tutor for University Master's Degree programs.
| Semester | Role | Subject / Activity | Official Program |
|---|---|---|---|
| 2024/25 Sem 2 | Course Instructor | Artificial Intelligence Featured AI Course | Master in Computational & Math. Engineering |
| 2024/25 Sem 2 | Course Instructor | TFM - Area 3 | Master in Data Science |
| 2024/25 Sem 2 | Course Instructor | Statistical Bioinformatics & ML | Master in Bioinformatics & Biostatistics |
| 2024/25 Sem 2 | Tutor | Master's Tutoring | Master in Data Science |
| 2024/25 Sem 1 | Course Instructor | TFM - Area 3 | Master in Data Science |
| 2023/24 Sem 2 | Course Instructor | TFM - Area 3 | Master in Data Science |
| 2023/24 Sem 2 | Tutor | Master's Tutoring | Master in Data Science |
| 2023/24 Sem 1 | Course Instructor | TFM - Area 3 | Master in Data Science |
| 2023/24 Sem 1 | Course Instructor | Statistical Bioinformatics & ML | Master in Bioinformatics & Biostatistics |
| 2023/24 Sem 1 | Tutor | Master's Tutoring | Master in Data Science |
| 2022/23 Sem 2 | Course Instructor | TFM - Area 3 | Master in Data Science |
| 2022/23 Sem 2 | Tutor | Master's Tutoring | Master in Data Science |
| 2022/23 Sem 1 | Course Instructor | TFM - Area 3 | Master in Data Science |
| 2022/23 Sem 1 | Tutor | Master's Tutoring | Master in Data Science |
| 2021/22 Sem 2 | Course Instructor | TFM - Area 3 | Master in Data Science |
| 2021/22 Sem 2 | Tutor | Master's Tutoring | Master in Data Science |
| 2021/22 Sem 1 | Course Instructor | TFM - Area 3 | Master in Data Science |
| 2021/22 Sem 1 | Tutor | Master's Tutoring | Master in Data Science |
| 2020/21 Sem 2 | Course Instructor | TFM - Area 3 | Master in Data Science |
| 2019/20 Sem 2 | Course Instructor | TFM - Area 3 | Master in Data Science |
| 2019/20 Sem 1 | Course Instructor | TFM - Area 3 | Master in Data Science |
| 2018/19 Sem 2 | Course Instructor | FMP - Data Mining & ML | Master in Data Science |
| 2017/18 Sem 2 | Course Instructor | Final Master's Degree Project | Master in Data Science |
Selected international congress presentations, invited scientific sessions, and hospital seminars.
Conference: 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2019) · Rotterdam, Netherlands
Conference: International Conference on Image-Assessment (Visual Trust ERC Project · Universitat de Barcelona)
Regular invited seminars, technical workshops, and training sessions delivered at Hospital Clínic de Barcelona / IDIBAPS, covering advanced diffusion MRI microstructural properties (μFA, DTI), automated cerebral and spinal cord atrophy quantification pipelines, deep learning and synthetic MRI in neuroimaging, and medical image computing infrastructures (XNAT, BIDS, RICORS).