Dr. Marco Stenta is a Science and Technology Fellow in Computational Chemistry at Syngenta Crop Protection, and he is based in Basel Switzerland. He obtained is PhD in Medicinal Chemistry at the University of Bologna (Italy) with a thesis on Computational Biochemistry. After a post-doc in computational Biophysics at EPFL, he joined the Computer-Aided Molecular Modeling team at Syngenta, where he supported the design of active ingredients using computational techniques. Recently Marco has worked on designing and implementing large-scale computational platforms to support and improve Design-Make-Tests-Analysis cycles. In particular, he worked on applying Artificial Intelligence to reactivity modeling and to inverse design.He is currently part of the Computer-Aided Synthesis Team, aiming at leveraging data, predictive models and knowledge graphs to increase the effectiveness and sustainability profile of synthetic procedures. Marco aims at supporting the invention of new, sustainable Active Ingredients through a robust multiparametric inverse design approach informed by synthetic feasibility. To this aim he is working on bridging reactivity models to predictive and molecular models into molecular optimization frameworks powered by generative chemistry.
Â