Maria Monzon is PhD candidate at ETH working in the intersection of data science, neuroimaging and neurology. Previously, she worked as Computer Vision Researcher on Advance Image Analysis Group at BASF. Her aim is to develop robust and trustworthy Deep Learning algorithms for solving computer vision problems in Bioscience.

She was granted a study scholarship for graduating with honors in highschool. She received his B.Sc. in Telecommunication Technology Engineering from the Basque Country University (UPV-EHU), including one semester abroad in Germany with the help of an Erasmus scholarship. She completed her bachelor thesis at BioRes group with excellent grade. In parallel, she attended a micro-master in Formation and Entrepreneurship in Biomedical Engineering (UPV-EHU).

Right after, she moved to Germany to pursue an M.Sc. in Biomedical Engineering at Friedrich-Alexander University Erlangen-Nürnberg (FAU) in data and image processing major. During her studies, Maria worked on multiple university-related and personal research projects in the areas of Deep Learning for Computer Vision and Biomedical Image and Signal analysis. She completed her master thesis at Siemens Healthineers, where she worked with PD. Dr. Daniel Giese and Prof. Andreas Maier on developing novel deep learning algorithms assessment of cardiac valve motion on time-resolved Magnetic Resonance Images. After her master, Maria did an Erasmus+ internship at Bitbrain Technologies, where she developed machine learning algorithms for decoding grasping action from EEG brain signals. Since then, Maria has worked as a research engineer at BASF R&D, where she developed state-of-the-art deep learning algorithms to solve Computational Life Science Problems. For more informatin on her research experience see Experience & Projects

Her current research interests include Computer Vision, Biomedical Image Analysis, Trustworhty Deep Learning and Machine Learning for Healthcare. I care about efficient coding and reproducible research.