Curriculum Vitae

📄 Short version 📄 Long version

Experience

Senior Researcher and Team Lead Feb 2022 – Present
Microsoft Health Futures · Cambridge, UK
  • Focus on Multimodal AI for healthcare: self-supervised learning (e.g. RAD-DINO, Nature Machine Intelligence) and generative diffusion models for medical imaging (e.g. RadEdit, ECCV)
  • Collaborated with the NHS to develop a deep learning model for hippocampal segmentation from brain MRI scans
  • Collaborated with Mayo Clinic to implement our multimodal LLM, MAIRA, in their clinical workflows
Research Software Engineer (freelance) Jan 2019 – Sep 2021
  • Paris Brain Institute (ICM): Developed tools to build a 3D atlas of the macaque brainstem (histology & MRI)
  • Arterys – Medical Imaging Cloud AI: Deployed deep learning models for medical images using Docker
  • Medical Augmented Intelligence (MAI): Developed virtual reality and medical imaging software on 3D Slicer
Research Software Engineer Aug 2015 – July 2017
Paris Brain Institute (ICM) – CENIR · Paris, France
  • Created 3D atlases of human and monkey brainstems based on immunohistochemical and MRI data
  • Collaborated with Medtronic on a product for planning and assessment of stereotactic surgery
Research Software Engineer (intern) Nov 2014 – Feb 2015
Center for Biomedical Technology (CTB – UPM) · Madrid, Spain
  • Collaborated with NASAL Inc. on a DICOM reading/writing software tool for planning of sinus surgery
Research Software Engineer (intern) Mar 2014 – Sep 2014
Paris Brain Institute (ICM) – CENIR · Paris, France
  • Developed EpiLoc, an automated pipeline for planning and assessment of electrode implantation surgery in epilepsy

Education

PhD in Medical Imaging Sep 2018 – Nov 2022
University College London & King's College London · London, UK
  • Lead the development of TorchIO, a library for medical images and deep learning (in PyTorch ecosystem)
  • Coordinated a collaboration between UCL and UCLH to publish EPISURG, a large MRI dataset
  • Wrote and released Resseg, a tool for quantitative analysis of resective neurosurgery using deep learning
  • Collaborated with neurophysiologists at NHNN to classify seizures from video-telemetry using deep learning
  • Joined the Medical Open Network for AI (MONAI) Transformations Working Group as an advisor
MRes Medical Imaging Sep 2017 – Sep 2018
University College London · London, UK
MEng Biomedical Engineering Sep 2014 – July 2015
Universidad Politécnica de Madrid · Madrid, Spain
BEng Sound and Image Engineering Sep 2009 – July 2014
Universidad Politécnica de Madrid · Madrid, Spain
  • Erasmus year at Beuth Hochschule für Technik Berlin, Germany (2011/12)
BEng Industrial Electronics Engineering Sep 2007 – July 2010
Universidad Pontificia Comillas — ICAI · Madrid, Spain

Technical Skills

Languages: Python (since 2012), MATLAB (10 years), C (5 years), JavaScript (a few years), shell (since 2015)

Tools: Azure Cloud, PyTorch, Docker, Git[Hub], uv, pytest, tox, VS Code, TorchIO, MONAI, ITK, VTK, 3D Slicer

Languages

Spanish: native; English (IELTS – 2017) and French: full professional proficiency; German (Goethe-Zertifikat B2 – 2012) and Italian: intermediate; Chinese (HSK2 – 2013) and Arabic: beginner.