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Federica Lionetto has a diverse work experience that spans various sectors. Beginning in 2010, they worked as a Summer Student at Fermilab, followed by a role as a Summer Student at CERN in 2011 where they focused on trigger design for the NA62 experiment. In 2012, they continued their work at CERN as a Technical Student and later as a Graduating Student, where they contributed to heavy-flavour physics research. Moving on to academic roles, Federica joined the University of Zurich in 2013 as a PHD Candidate and Teaching Assistant, focusing on data analysis and classification strategies for measuring rare decays in particle physics using machine learning. They completed their PHD in 2018 and briefly worked as a Postdoc Researcher at the University of Zurich. Transitioning to the corporate world, Federica joined PwC Switzerland in 2018 as a Consultant in Data and Analytics, and later as an Assistant Manager in the same field. In 2019, they also took on the role of External Lecturer at the University of Zurich. Currently, Federica serves as a Senior Expert Data Scientist and Project Lead at Swiss International Air Lines, where they utilize their expertise in data science and project management.

Federica Lionetto's education history is as follows:

- From 2002 to 2006, they attended Liceo Classico Statale F. Capece and obtained a Diploma di istruzione secondaria superiore ad indirizzo scientifico.

- From 2007 to 2010, they pursued a Bachelor's degree in Physics at Università di Pisa.

- From 2010 to 2013, they completed their Master's degree in High Energy Physics at Università di Pisa.

- Finally, from 2013 to 2017, they achieved a Doctor of Philosophy (PhD) in Physics from the University of Zurich.

In addition to their academic qualifications, Federica Lionetto has obtained various certifications related to machine learning, cloud computing, and project management from reputable institutions such as Google Cloud, Coursera, and Scrum.org.