Roman Bredehoft

Roman Bredehoft has been working in the field of machine learning since 2018. In 2019, they held the role of Communication Manager for three different organizations: COP2 Étudiante, BDS Ensimag, and BDE Ensimag. In 2020, they were a Machine Learning R&D Engineering Intern for Upskills, a global consulting firm from Singapore. Currently, they are a Machine Learning Engineer and Machine Learning Intern for Zama.

Roman Bredehoft completed their Science Track French Baccalauréat and American High School Diploma at Lycée Français de San Francisco between 2012 and 2016. Roman then attended Lycée Champollion from 2016 to 2018, where they earned an Intensive two years preparing for the national competitive exam to join Engineering Schools, focusing on Maths, Physics, Engineering Sciences and Computer Science. In 2019, Roman earned an International Master of Science in Industrial and Applied Mathematics (MSIAM) from Université Grenoble Alpes, with a field of study in Applied Mathematics and Computer Science. Roman also obtained certifications in TOEIC Listening and Reading test from ETS in December 2019 and Python for Data Science from IBM in June 2019. Roman is currently pursuing an Engineering degree in Computer Science and Applied Mathematics from the National School of Computer Science and Applied Mathematics of Grenoble, and is also taking part in an Erasmus exchange at Instituto Superior Técnico.