Matthieu Nadini
About Matthieu Nadini
Matthieu Nadini is a data scientist with a diverse academic and professional background, including experience as a postdoctoral researcher and a football player. He currently works at Swift and has held positions at various institutions, including City, University of London and The Alan Turing Institute.
Work at Swift
Matthieu Nadini has been employed at Swift as a Data Scientist since 2022. In this role, he applies his expertise in data analysis and modeling to contribute to the company's projects. His background in research and data science supports Swift's objectives in developing innovative solutions.
Previous Experience in Data Science
Before joining Swift, Matthieu Nadini worked at Elliptic as a Data Scientist from 2021 to 2022. He also held postdoctoral researcher positions at City, University of London and The Alan Turing Institute from 2020 to 2021. His experience in these roles involved advanced data analysis and research methodologies.
Education and Expertise
Matthieu Nadini holds a Doctor of Philosophy (PhD) in Engineering from New York University, where he studied from 2017 to 2020. He also earned a Master's degree in Physics of Complex Systems from Politecnico di Torino from 2015 to 2017. His educational background includes studies at various prestigious institutions, including Université Paris Diderot and Scuola Internazionale Superiore di Studi Avanzati di Trieste.
Background in Sports
Prior to his academic and professional career in data science, Matthieu Nadini was a football player for Bologna F.C. 1909 S.p.A. from 2006 to 2010. This experience in sports provided him with a unique perspective that complements his analytical skills in data science.
Research Experience
Matthieu Nadini has extensive research experience, including a role as an Assistant Researcher at New York University from 2017 to 2020 and as a Visiting Research Student at the University of Greenwich in 2017. His research contributions span various topics within data science and complex systems.