Odysseas Drosis

Odysseas Drosis is a seasoned professional in the field of computer science, with extensive experience in machine learning and data science. Drosis began with an internship at Nokia in 2018, implementing a diploma thesis on predicting software bugs using Python and sklearn. Drosis advanced to a machine learning researcher role at Nokia Bell Labs, focusing on time series prediction. As a PhD researcher at EPFL from 2020 to 2023, Drosis specialized in decentralized learning. Subsequent positions include applied NLP scientist at Dyania Health, where Drosis trained large language models for medical applications, and data scientist at Kaizen Gaming, developing real-time recommendation systems for sports betting. Drosis further served as a machine learning applied scientist at HP and is currently a machine learning engineer at Meta. Academic achievements include a Master of Engineering from Cornell University and a Doctor of Philosophy from EPFL, bolstered by a strong foundational education from the National Technical University of Athens.