CV

My (longer) CV can be downloaded here! Below you will find a brief version:

Education

MSc Biomedical Engineering – ETH Zurich
Sept 2022 – May 2024

Major: AI and Medical Image Analysis
Key Courses: Biomedical Imaging, Image Analysis, Computer Vision
GPA: 88%
Selected twice as SEMP Scholar for research stays at Harvard Medical School & MGH

BSc Biomedical Engineering – Carlos III University (UC3M)
Sept 2018 – July 2022

Ranked Top 2%
Exchange at Nanyang Technological University (Singapore), fully covered by KA107 Scholarship
Honors: Electromagnetism, Material Science and Engineering, Linear Algebra, Information Skills, Writing and Communication Skills, Robotics and Bioethics
Thesis: Association between cerebral perfusion and cardiovascular disease (maximum grade)

AI/ML Research Intern
Roche (Basel, Switzerland)
June 2025 – Present

Development of hierarchical classification and segmentation models for endoscopy video datasets in Ulcerative Colitis.
Built large-scale, reproducible pipelines (Hydra, Git, W&B) on HPC environments for annotation and training.

Affiliated Researcher
Massachusetts Institute of Technology (MIT, Boston, MA)
May 2025 – Present

Development of deep learning pipelines for tuberculosis detection from chest X-rays in collaboration with the Sri Lanka Ministry of Health.
Focus on dataset curation, out-of-distribution detection, and reproducible deployment workflows.

Graduate Researcher
Harvard Medical School & Brigham and Women’s Hospital (Boston, MA)
Sept 2024 – July 2025

CT segmentation and statistical shape modeling of aortic valves to create patient-specific digital twins.
Developed ML classifiers to predict cardiac outcomes using imaging and clinical data.

Data Scientist Intern
Liom AG (Pfäffikon, Switzerland)
March 2024 – Oct 2024

Implemented outlier detection and mitigation strategies for non-invasive glucose monitoring.
Improved KPIs by 25% while supporting integration with live measurement systems.

Graduate Researcher
Harvard Medical School & Martinos Center for Biomedical Imaging (Boston, MA)
Sept 2023 – March 2024

Designed augmentation and projection-based strategies for brain cortical parcellation.
Published results in MLMI 2024 (MICCAI-endorsed).

Graduate Researcher
ETH Zurich – Computer Vision Lab (Zurich, Switzerland)
March 2023 – Aug 2023

Explored training-free neural network architectures (Deep Decoders) for medical imaging applications.

Undergraduate Researcher
Spanish National Center for Cardiovascular Research (CNIC, Madrid, Spain)
June 2021 – July 2022

Investigated associations between cardiovascular risk factors and cerebral perfusion using MRI and PET data from the PESA cohort.

AI4MED – Corporate Relations Team Lead (Nov 2023 – Present)
BEST UC3M – Corporate Relations Staff (Sept 2020 – Sept 2022)
TEDxUC3M – Board of Directors, Speakers Coordinator (Sept 2020 – Sept 2022)
Isabel La Católica School – Volunteer Teaching Assistant (Sept 2015 – May 2017)

Nova 111 List – Top 10 Engineering Students in Spain (2024)
’la Caixa’ Fellowship – Full tuition at any university worldwide (2022)
EIT Health Innovation-Days – Gold Medal (Spain) & Bronze Medal (Europe) (2021)
Engineering Medicine – Bronze Medal: Top 3 case study solutions (2021)

Selected Attendee – Summer Geometry Initiative Tutorial Week @ MIT (Prof. Justin Solomon), 2025
Selected Attendee – UCL Medical Image Computing Summer School (MedICSS), 2025
Selected Attendee – RISE-MICCAI Medical Imaging Summer School, 2025

Technologies: Python, R, MATLAB, Blender, HPC, Git, Hydra, W&B, PyTorch, scikit-learn
Languages: Spanish (Native), English (C2), German (A2), French (A1)