Viola Fanfani is a Senior Scientist in Bioinformatics with eight years of experience translating computational biology and machine learning into insights on cancer regulatory mechanisms. Trained with a PhD in Computational Biology from the University of Edinburgh and seasoned through postdoctoral roles at Harvard, she builds and applies statistical models and reproducible software to dissect regulatory changes driving cancer risk and progression. At the Quackenbush Lab she focused on regulatory network inference and now brings that expertise to industry at Unravel Biosciences, bridging academic rigor with translational impact. Beyond modeling, she has deep experience in developing reproducible computational workflows that make complex analyses auditable and shareable. Her background in biomedical engineering and an Erasmus traineeship in ML underline a rare mix of wet‑lab awareness and algorithmic fluency that accelerates discovery-to-therapeutic pipelines.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at The University of Edinburgh
Erasmus+ Traineeship Machine Learning, Erasmus+ Traineeship Machine Learning at University of Essex
liceo ginnasio Galileo
Laurea Magistrale LM Ingegneria biomedica, Laurea Magistrale LM Ingegneria biomedica at Università di Pisa
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.