PhD in Biomedical Data Science
2023 – PresentETH Zurich
Hi, I'm
Maria Monzon
I research
PhD candidate at ETH Zurich developing robust and trustworthy deep learning for medical image analysis — spine and cardiac MRI, multimodal biomedical data, and uncertainty quantification. Previously a computer-vision researcher at BASF, where I deployed models to production in regulated, GLP-certified environments. I care about efficient code and reproducible research.
Areas of Expertise
Machine Learning
Python
Computer Vision
Medical Data
Data Science
Analytical Thinking
Experience
A snapshot of my research & engineering roles
Research Associate & Teaching Assistant
Jan 2023 – PresentETH Zurich — Biomedical Data Science Lab · Zurich, CH
Deep-learning and multimodal AI for medical imaging and clinical low-back-pain research.
Sr. Computer Vision Researcher
May 2021 – Dec 2022BASF Digital Hub — Advanced Imaging Group · Madrid, ES
Production computer-vision for Computational Life Science R&D (promoted from Data Scientist).
R&D Intern — Deep Learning for Biosignals
Jan 2021 – Apr 2021Bit Brain Technologies · Zaragoza, ES
Deep-learning decoders for EEG brain–computer interfaces (Erasmus+ internship).
M.Sc. Thesis Intern & Research Working Student
Oct 2018 – Dec 2020Siemens Healthineers — MR Cardiology AI & Technology Innovation · Erlangen, DE
Deep learning for cardiac-MRI valve-motion assessment (M.Sc. thesis) and medical-imaging IP research; patent co-inventor.
Broadband & Coverage Intern
Jul 2017 – Sep 2017Ibertel Engineering Services · Bilbao, ES
Mobile-network coverage engineering for base-station deployment (telecommunications).
Education
Biomedical engineering & data science
Visiting PhD Researcher
2025 – 2026University of Oxford — Visual Geometry Group
MSc in Biomedical Engineering (Honors, 120 ECTS)
2018 – 2021Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
BSc in Telecommunications Engineering (240 ECTS)
2013 – 2017University of the Basque Country (UPV/EHU)