Anna Bernasconi was born in Bologna in 1990. She received the B.S. degree in Mathematical Engineering in 2012 and the M.S. degree in Computer Engineering in 2015, both from the Politecnico di Milano. She has a Master in Computer Science from the University of Illinois at Chicago. After 2-years experience in consulting, she received the Ph.D. degree (cum laude) in Information Technology from Politecnico di Milano, defending the thesis "Model, Integrate, Search... Repeat: a Sound Approach to Building Integrated Repositories of Genomic Data" in 2021, advised by Prof. Stefano Ceri and Alessandro Campi. She was postdoctoral researcher at Politecnico di Milano during 2021 and 2022 and visiting researcher at Universitat Politecnica de Valencia in 2022. She is Non-Tenured Assistant Professor (RTDA) of the Politecnico di Milano since October 2022.

Anna's main research areas are Bioinformatics, Databases, and Data Science Methods, where she applies conceptual modeling, data integration, and semantic web technologies to biological and genomic data. She authored more than 30 publications in international journals and proceedings of international conferences. She is active in the conceptual modeling and database communities, with several paper presentations and the organization of two tutorials (ER and EDBT conferences) and four workshops on conceptual models and web applications for life sciences (ER and ICWE conferences). In 2021 Anna was a recipient of the Dimitris N. Chorafas Award and in 2022 of the "Best Ph.D. thesis award on Big Data & Data Science" from the CINI Big Data Lab (within the itaDATA 2022 conference). Participation to European research projects: GeCo (ERC), ViruSurf (EIT).