Experience

Research & engineering roles across academia and industry

Medical Data

  • MRI
  • CT
  • Computational Pathology
  • X-Ray
  • EEG
  • ECG
  • EMG
  • DICOM / NIfTI / PACS
  • FHIR / EHR

Artificial Intelligence

  • Pattern Recognition (PR)
  • Deep Learning (DL)
  • Computer Vision (CV)
  • Machine Learning (ML)
  • Neural Networks (CNN)
  • Transfer Learning
  • Reinforcement Learning (RL)

CS & Mathematics

  • Object-Oriented Programming
  • Data Structures
  • Statistics
  • Calculus
  • Algebra
  • Information Theory
  • Data Mining

Visual Computing

  • Preprocessing
  • Segmentation
  • Registration
  • Classification
  • Regression
  • Image Tracking
  • Medical Image Reconstruction

Trustworthy AI

  • Uncertainty Quantification
  • Conformal Prediction
  • Explainability (SHAP)
  • Monte-Carlo Dropout
  • Test-Time Augmentation
  • Model Calibration
  • Robustness

CV

ETH Zurich — Biomedical Data Science Lab logo

Research Associate & Teaching Assistant

Jan 2023 – Present
ETH Zurich — Biomedical Data Science Lab · Zurich, CH
  • Developed multimodal AI pipelines combining lumbar-spine MRI, EHR and gait data for treatment-outcome prediction in low back pain.
  • Built a harmonisation toolbox and deep-learning models for spine-MRI segmentation, including diffusion-based and U-Net baselines.
  • Developed MRI-based ranking models for continuous degeneration severity scoring and stenosis classification.
  • Applied machine learning (random forest, SVM, XGBoost) to clinical data with SHAP explainability for patient-level outcome stratification.
  • Led secure multimodal data integration and deployment to the Swiss BiomedIT federated network.
  • Teaching assistant for Foundations of Data Science; supervised 3 M.Sc. students and 2 interns.
BASF Digital Hub — Advanced Imaging Group logo

Sr. Computer Vision Researcher

May 2021 – Dec 2022
BASF Digital Hub — Advanced Imaging Group · Madrid, ES
  • Led computer-vision projects and consulted R&D groups on scalable ML workflows and production deployment.
  • Developed YOLO-based models for microscopy cell counting and bacterial-colony quantification in GLP-compliant imaging pipelines.
  • Deployed hyperspectral and RGB computer-vision models for plant-disease detection and severity estimation, served via the abaQus app.
  • Designed and implemented a GrabCut-based method for inpainting-percentage estimation for water-area quantification.
Bit Brain Technologies logo

R&D Intern — Deep Learning for Biosignals

Jan 2021 – Apr 2021
Bit Brain Technologies · Zaragoza, ES
  • Built deep-learning models to decode reach-and-grasp motor intention from EEG for brain–computer interface research.
  • Reviewed and benchmarked state-of-the-art EEG signal-processing methods.
Siemens Healthineers — MR Cardiology AI & Technology Innovation logo

M.Sc. Thesis Intern & Research Working Student

Oct 2018 – Dec 2020
Siemens Healthineers — MR Cardiology AI & Technology Innovation · Erlangen, DE
  • Developed a heatmap-regression 3D-CNN to track mitral-valve motion on time-resolved CINE cardiac MRI, reaching 1.66 mm landmark accuracy in the scanner workflow.
  • Fitted Gaussian models to recover temporally smooth valve-motion curves across the cardiac cycle and extracted clinically relevant motion parameters with high accuracy.
  • Validated model performance on large-scale datasets and built an interactive dashboard for valve-motion analysis, clustering and anomaly detection.
  • Assisted deployment of the 3D-CNN into the MRI scanner for predictive motion estimation, filed as an invention disclosure.
  • Co-invented patent US12239477B2 for automated cardiac-motion extraction.
  • Earlier, in the SHS Technology Innovation IP team — analysed medical-technology patents, monitored the competitor landscape and supported claims protecting internal inventions.
Ibertel Engineering Services logo

Broadband & Coverage Intern

Jul 2017 – Sep 2017
Ibertel Engineering Services · Bilbao, ES
  • Ran mobile-network coverage simulations with radio-propagation models to plan base-station deployment for mobile-phone masts.
  • Produced technical project documentation and supported RF coverage analysis as project technician.

Tech Stack

Tools I use daily in research and development

Languages

Python
Bash
JavaScript
HTML
C++
MATLAB
SQL

Deep Learning & Computer Vision

PyTorch
Keras
MONAI
OpenCV
Ultralytics
YOLO
Hugging Face
scikit-learn

MLOps & DevOps

Git
Docker
FastAPI
GitLab CI/CD
GitHub Actions
DVC
DVC
Kubernetes

Voluntary Activities

  • 2023–present Peer reviewer for Machine Learning for Health (ML4H), the MICCAI EMA Workshop, ISMRM, European Spine Journal, the Journal of Magnetic Resonance Imaging (JMRI) and Scientific Data
  • 2024–present Member of open-science communities — ORMIR (Open & Reproducible Musculoskeletal Imaging Research), MONAI (Medical Open Network for AI) Human–AI Interaction Working Group, and the ETH AI Center
  • 2023–2025 Diversity Team, AVETH — the academic association of scientific staff at ETH Zurich
  • 2021–present IEEE Student Member
  • 2015–2019 AEGEE (European Students’ Forum) — organised 4 European conferences (45–60 participants, €3,000–5,000 budgets); IT Officer at AEGEE Europe and Secretary of AEGEE-Bilbao
  • 2016 Co-organiser of the “Knights & Robots” summer course for BEST (Board of European Students of Technology)
  • 2015 Erasmus+ project assistant in Chemnitz, Germany