Summary
Celeste Damiani is a data scientist with a decade of experience bridging pure mathematics and applied machine learning in healthcare, now working at Camelot Biomedical Systems in Genoa. She holds a Ph.D. in Mathematics (geometric topology) and has translated topological insight into data-driven approaches through postdoctoral and research roles across Japan, Germany, the UK and Italy. Her background equips her to tackle complex, structure-rich biomedical datasets where geometric intuition and ML complement each other. She has a track record of moving between disciplines and cultures—a pattern that informs a collaborative, curiosity-led research style. Fluent in academic rigor and applied pipeline delivery, she focuses on turning theoretical constructs into practical models that improve patient- or lab-facing outcomes.
10 years of coding experience
3 years of employment as a software developer
Erasmus, Erasmus at Université de Fribourg/Universität Freiburg
Laurea Magistrale, Matematica, Laurea Magistrale, Matematica at Università degli Studi di Trieste
English, French, Spanish, Japanese, Italian