Summary
Anna Bernasconi is a Tenure-Track Researcher at Politecnico di Milano with 10 years of experience at the intersection of bioinformatics, databases, and data science, combining conceptual modeling, data integration, and knowledge engineering to deliver open-source tools and services for life sciences. She leads the SENSIBLE PRIN PNRR and NGI Search TETYS projects and has a strong record of community engagement as program chair, tutorial organizer, workshop convener, and academic editor for PLOS ONE and BMC Bioinformatics. Her academic trajectory—from a cum laude PhD in Computer Engineering to visiting research positions at UPV—reflects deep expertise in database paradigms and practical data-driven genomic computing. Anna’s background includes industry experience in ETL, data warehousing and graph visualization, giving her a rare blend of theory-driven research and production-oriented engineering. An interesting facet: she pairs rigorous computational research with musical training (clarinet diploma), hinting at a creative, multidisciplinary approach to problem solving. Based in Milan, she actively bridges research, open-source development, and community leadership in conceptual modeling and life-science informatics.
10 years of coding experience
3 years of employment as a software developer
Erasmus Program, Facultad de Ciencas (Fisica y Matematicas), Erasmus Program, Facultad de Ciencas (Fisica y Matematicas) at Universidad Autónoma de Madrid
High school, Maxi Sperimentazione Matematico-Informatica, 100L/100, High school, Maxi Sperimentazione Matematico-Informatica, 100L/100 at Liceo Scientifico Nicolò Copernico di Bologna
Master's degree, Computer Science, 3.85/4.00, Master's degree, Computer Science, 3.85/4.00 at University of Illinois at Chicago
Doctor of Philosophy - PhD, Computer Engineering, PhD title cum laude, Doctor of Philosophy - PhD, Computer Engineering, PhD title cum laude at Politecnico di Milano
Conservatorio di Bologna "G. B. Martini"
Italian, English, Spanish