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Marco Antonioli is an accomplished Research Scientist currently engaged with Interpretable AI and Ground Truth Analytics as of October 2023. With a robust background in data science and operations research, Marco has contributed as a Graduate Research Assistant at the Massachusetts Institute of Technology under Professor Dimitris Bertsimas, focusing on neural network architectures for discrete optimization problems. Previous experience includes roles as a Data Scientist for both HANDLE? Global and BetterVet, where Marco utilized machine learning techniques for healthcare budgeting and demand forecasting. As a Graduate Teaching Assistant at MIT Sloan, Marco led a team supporting an analytics course. Academic credentials include a Master's degree in Operations Research and Machine Learning from MIT, a Cross-registered student status at Harvard University, a Bachelor's degree in Economics, Management and Computer Science from Universit¨¤ Bocconi, and participation in an exchange program at Georgia Institute of Technology.