Theo Grigorakakis is a Research Scientist at IPTO-Independent Power Transmission Operator since February 2023, contributing to the European Health and Digital Executive Agency program 'Autopoietic Cognitive Edge-Cloud Services' by designing energy sector solutions and developing algorithms for optimal power flow and anomaly detection. Prior experience includes serving as a Product Owner at Causaly, where Theo developed biomedical solutions for pharmaceuticals and led a team focused on healthcare data analysis, and as an AI/Machine Learning Manager and Lead Data Scientist at EY, overseeing various AI healthcare applications and tax solutions. Additional roles at IBM involved developing customer insights solutions and managing analytics projects across multiple industries. Educational credentials include an MSc in Management and Strategy from The London School of Economics and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens.
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