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Giulio Romanelli is a Data Scientist at the Swiss Data Science Center since June 2021, specializing in advanced algorithm development for real-time inference of mental states and deep survival models for predicting disruptions in nuclear fusion research. Prior experience includes serving as a Quantitative Risk Analyst at Deloitte from October 2019 to May 2021, where Giulio designed and developed deep learning models for time series analysis, behavioral modeling, and sentiment analysis, alongside web applications for risk computation. Previously, Giulio completed an internship as an Operational ALM Analyst at UniCredit, focusing on rate risk metrics for the banking book. Educational qualifications include a Master's degree in Quantitative Finance and Risk Management from Università Bocconi, and Master's and Bachelor's degrees in Theoretical Physics from Università degli Studi di Padova.