Gabriel Castellano

Gabriel Castellano is an AI Engineer at CareX.AI, where research on blood pressure estimation using PPG signals from smartphone cameras has been initiated. This role encompasses the development of algorithms in computer vision, signal processing, and machine learning for biomedical applications. Prior experience includes a position as a Data Science Werkstudent at ProSiebenSat.1 Media SE, enhancing content compression through NLP techniques and co-developing an automated video content solution. Additionally, Gabriel has served as a Graduate Research Assistant at the Technical University of Munich, contributing to time-series feature extraction methods, and interned at Siemens Healthineers, Mitacs, and INNOVIX, focusing on medical imaging, biomedical data analysis, and firmware development, respectively. Gabriel holds an Elite Master of Science in Neuroengineering from the Technical University of Munich and a Bachelor's Degree in Electrical Engineering from Universidade de Brasília.