Dr. Marc Bianciotto has a PhD in quantum chemistry from the University of Toulouse. During his career in the industry, he has been involved in every aspect of Computer-Aided Drug Design, from hit triaging and virtual screening to lead optimization. In the last four years, he has been developing and applying de-novo design algorithms to lead optimization programs in drug discovery, and focusing his research on pain points of the process, such as the drug-likeness of generated molecules or the risk of biasing the molecular generation because of the underlying predictive models.