Angelos Karatsidis is a Senior Principal Machine Learning Engineer at Biogen, specializing in Digital Biomarkers and Applied Machine Learning since February 2022. Previously, as a Senior Data Scientist focused on Digital Biomarkers, Angelos developed end-to-end signal processing pipelines and machine learning models to transform sensor data into digital measures using agile methodologies. At Capgemini Engineering, Angelos served as an Advanced Consultant and led data science initiatives in a digital biomarkers project for a pharmaceutical client that integrated wearable and VR technology. Prior experience includes a role as Lead Engineer for 3D Body Motion at Movella, focusing on motion tracking products, and positions in research and development related to assistive technology at SciFY. Angelos holds a Ph.D. in Biomedical Signals and Systems from the University of Twente and a Master of Engineering in Electrical and Computer Engineering from Democritus University of Thrace.
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