Daniel Tordjman

Daniel Tordjman is a skilled machine learning professional currently serving as the Lead Machine Learning at Raidium since September 2023. Previously, Daniel spent four years at Cardiologs, first as a Data Scientist and later as Team Lead Data Science, managing a team focused on the development and validation of new ECG diagnostic products. Daniel played a key role in designing large-scale evaluations for FDA submissions and collaborating with cross-functional teams to implement algorithms. Experience also includes a research internship at GE Healthcare, a data scientist internship at Sonder Inc., and software-related roles including an internship at Devialet and service as an officer cadet in the French Air Force. Daniel holds a Master's degree in Data Science from École Polytechnique and a Master 2 degree from École Normale Supérieure Paris-Saclay, specializing in Mathematics, Vision, and Learning.