Summary
Davide Chicco is a scientific researcher with 11 years of experience applying machine learning and deep learning to computational biology and biomedical informatics, currently based at the University of Toronto and previously at the Krembil Research Institute. His work spans chromatin biology, healthcare datasets, and bioinformatics, blending rigorous academic training from Politecnico di Milano with hands-on algorithm development and software engineering. He has a strong track record of translating deep learning methods into biological insight, including postdoctoral research at Princess Margaret Cancer Centre and collaborative work in Pierre Baldi’s group at UC Irvine. Beyond modeling, he has taught programming and supervised MSc research, reflecting a knack for making complex methods accessible to students and clinicians. Colleagues note his persistent focus on reproducible code and applied experimentation, with personal websites and contact details provided for collaboration.
10 years of coding experience
10 years of employment as a software developer
Master's Degree (Laurea Specialistica), Computer science (Informatica), Master's Degree (Laurea Specialistica), Computer science (Informatica) at University of Genoa
Italian, English, French, Spanish