Giulia Regalia serves as the Data Science Tech Lead at Empatica since February 2015, where responsibilities include unblocking R&D activities, ensuring technical quality in task definitions, and collaborating with teams for medical device approvals. Prior roles include Senior Data Scientist at Empatica, focusing on algorithm design for physiological signal processing, as well as research fellow positions at San Raffaele Scientific Institute and Politecnico di Milano, emphasizing signal processing and neuronal signal analysis. Giulia has also contributed as a teaching assistant in Biomedical Engineering and completed a visiting PhD at the University of Tübingen. Academic credentials encompass a PhD in Bioengineering, a Master's in Biomedical Engineering, and a Bachelor's in Biomedical Engineering from Politecnico di Milano, supported by a high school diploma in Humanities from Liceo Classico "Carducci" in Milano.
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