Summary
Giovanni Bocci is a senior data scientist specializing in cheminformatics and drug discovery, with a PhD in Biotechnology and a decade-long focus on ADMET and toxicity modeling. He has led cross-functional teams to build in silico platforms predicting 40+ ADMET endpoints and delivered early toxicity risk tools (hERG, DILI, Ames) used to guide medicinal chemistry decisions. His career spans academia and industry—advancing COVID-19 screening workflows and BDDCS forecasting in a university setting, then scaling predictive modeling at Exscientia and now at Recursion. Giovanni combines deep domain expertise in pharmacokinetics and transporters with practical ML engineering for compound optimization, and he has repeatedly translated mechanistic insight into deployable models that de-risk early drug candidates.
6 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Biotechnology, Doctor of Philosophy - PhD Biotechnology at Università degli Studi di Perugia
Diploma di Scuola Superiore, Diploma di Scuola Superiore at Liceo Scientifico G.Mazzatinti
Italian, English, French, Chinese