Fabrizio Costa is a Senior Lecturer in Machine Learning at the University of Exeter with over a decade of research and teaching experience bridging computer science and bioinformatics. His work advances what ML can ingest and create: he developed efficient graph kernels and the EDeN feature generator for relational and chemo-/bioinformatics, and pioneered Constructive Machine Learning for designing novel objects with desired properties. This enables applications from de novo drug and protein design to automated software, music, and game content generation. Trained with a PhD in Computer Science from the University of Florence and seasoned by postdoctoral roles across Europe, he combines deep theoretical insight with practical tools that translate into interdisciplinary impact. An understated strength is his focus on generalization—both of inputs and of tasks—which yields versatile methods applicable across science and art.
11 years of coding experience
15 years of employment as a software developer
Ph.D, Computer Science, Ph.D, Computer Science at Università degli Studi di Firenze / University of Florence
Contributions:1 release, 51 pushes, 1 branch in 2 years 2 months
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