Giacomo Snidero
About Giacomo Snidero
Giacomo Snidero is a Data Scientist Lead at the European Patent Office, where he oversees AI-assisted patent classification and the development of deep learning NLP models. He has a strong academic background in particle physics and has held positions at notable organizations such as Boehringer Ingelheim and Deloitte.
Work at European Patent Office
Giacomo Snidero has been employed at the European Patent Office (EPO) as a Data Scientist - Lead since 2019. In this role, he leads the AI-assisted patent classification team, which focuses on the development and deployment of deep learning natural language processing (NLP) models. He also serves as the product owner of the EPO-customised JupyterHub platform, overseeing its development and implementation. His work contributes to enhancing the efficiency of AI-assisted processes within the organization.
Education and Expertise
Giacomo Snidero holds a Doctor of Philosophy (PhD) in Elementary Particle Physics - Data Analysis from CERN and Queen Mary London, where he studied from 2010 to 2014. He also earned both a Master of Science (MSc) and a Bachelor of Science (BSc) in Particles & Nuclear Physics from Università degli Studi di Trieste. His educational background provides a strong foundation for his expertise in data science and machine learning.
Background
Before his current role at the European Patent Office, Giacomo Snidero worked as a Data Scientist at Boehringer Ingelheim from 2018 to 2019, where he was involved in machine learning projects across London, Munich, and Ingelheim. He also served as a Data Science Consultant at Deloitte for one year in 2015 to 2016 in London, United Kingdom. Earlier in his career, he was a Doctoral Researcher at CERN from 2010 to 2014, conducting research in Geneva and London.
Achievements
Giacomo Snidero has significant expertise in deploying deep learning models to production clusters, which enhances the efficiency of AI-assisted processes. His leadership in the AI-assisted patent classification team at the European Patent Office highlights his role in advancing the application of machine learning and NLP in the field of patent classification.