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Emanuele Antonioni has a diverse work experience background. Starting in 2016, they worked as a Sviluppatore front end for Kitel for a period of five months. In 2017, they joined QOOWEAR as an AI Engineer and remained with the company until 2021. During this time, they worked on developing AI solutions. In 2019, they started their PhD in Computer Engineering at Sapienza Università di Roma, focusing on AI, Robotics, and Machine Learning, specifically researching applications of Reinforcement Learning and real-time Automated Planning solutions in Robotics environments. From 2022 until May 2023, Emanuele worked as a Machine Learning Engineer for smartFAB. Currently, they are employed at CY4GATE as a Machine Learning Engineer starting from May 2023.

Emanuele Antonioni's education history starts with a Bachelor's degree in Computer Science from the Università di Roma Tor Vergata, which was obtained between 2012 and 2016. Subsequently, they pursued a Master's degree in Artificial Intelligence and Robotics at Sapienza Università di Roma from 2016 to 2018. In 2021, Antonioni attended the CIFAR Deep Learning + Reinforcement Learning Summer School, focusing on Artificial Intelligence and Machine Learning during this program. In 2022, they embarked on a PhD visiting period at King's College London, specializing in Computer Science.