Emanuele Fabbiani

Emanuele Fabbiani has diverse work experience in various roles and industries. Emanuele started their career at Statwolf as a Data Scientist, where they conducted research on the impact of weather parameters on silicon chip production and developed a prototype for automatic classification of household appliance reviews. Emanuele then joined Techedge Group as a Software Engineer, where they designed and developed full-stack web applications and worked on data-driven projects in energy price forecasting and market abuse detection as a Data Scientist. Emanuele also worked as a Data Analyst at Techedge Group, where they designed prototypes for data visualization systems.

In 2013, Emanuele joined the University of Pavia as an Academic Tutor, teaching various courses and developing a website with a significant user base. Emanuele later became a Lecturer at Almo Collegio Borromeo, teaching Introduction to R and Introduction to Machine Learning. Emanuele also worked as a Lecturer at the University of Pavia, where they taught Python for Data Science.

Currently, Emanuele holds the position of Head of AI at Xtream, a boutique software and data science company. In this role, they supervise and leads Data Science and Machine Learning projects, creates and manages the Data Science team, and designs and implements forecasting systems for Italian utilities.

Overall, Emanuele Fabbiani has a strong background in data science, machine learning, and teaching, with experience in various industries and settings.

Emanuele Fabbiani has an extensive education history, primarily focused on computer science and machine learning. Emanuele started their academic journey in 2007 by completing their high school education at Liceo Scientifico "B. Cairoli" in Vigevano.

In 2012, Emanuele began their undergraduate studies in Computer Science at the Università di Pavia, which they completed in 2015, earning a Bachelor's degree. Emanuele then went on to pursue a Master's degree in Computer Science with a specialization in Automation Engineering at the same university. This program ran from 2015 to 2017.

Emanuele's passion for machine learning led him to pursue a Doctor of Philosophy (PhD) degree in Applied Machine Learning at the Università di Pavia. Emanuele commenced this program in 2017 and successfully completed it in 2020. During their PhD studies, they also had the opportunity to enhance their knowledge through a visiting PhD program at EPFL (École polytechnique fédérale de Lausanne) from 2019 to 2020.

In addition to their formal education, Emanuele Fabbiani has obtained additional certifications. Emanuele received a Certificate of Quantum Excellence from IBM in July 2021. Furthermore, in July 2020, they obtained the Engineering Professional certification ("Abilitazione alla professione di Ingegnere") from the Università di Pavia.