AI will reveal relevant information in scans that allow for better prediction, diagnosis and treatment of diseases.
Everyone knows quality AI requires quality data. “Garbage in, garbage out”, as they say. That’s why it’s so important to have Ester Jiménez Arroyo on our team working as a Data Engineer. Her experience in deep learning, data analytics and medical imaging ensures we make efficient use of clean data to power our software. Ester studied Biomedical Engineering at the University Carlos III in Madrid, and later she earned two masters degrees in Professional Development at the University Alcalá de Henares and Advanced Neuroimaging at University College London.
Prior to joining contextflow, Ester worked as a Software Development Engineer, a Deep Learning Researcher and a Marie Skłodowska-Curie Actions H2020 BQ Minded Early Stage Researcher with the goal of developing automated methods to extract biomarkers from qMRI data. Along the way, she even picked up training on CE and FDA regulatory guidelines for medical devices. Safe to say, she’s incredibly well-rounded, and our software is better off because of her.
Favorite meal: Tortilla de Patata! (My mom’s, of course!)
Recommended reading: The Gifts of Imperfection by Brené Brown or The Century Trilogy by Ken Follet
People would be surprised to learn…that I’ve started writing a book!
If I wasn’t working as Data Engineer, I would be…teaching kids about science in a fun way or discovering the world through both travelling and reading.
Most rewarding part of my job: Helping product designers and ML developers make better decisions based on data insights