After I completed my PhD in Computational Chemistry at the University of Lund and postdoctoral research at the University of Cambridge and the Czech Academy of Sciences, I joined AstraZeneca in 2004. I currently lead the Discovery Sciences Computational Chemistry team within BioPharmaceuticals R&D, providing computational solutions for drug discovery.
I am passionate about pushing the boundaries of using artificial intelligence and machine learning in drug discovery. A key focus for me has been on building both the team within BioPharmaceuticals R&D and collaborating with external experts to advance innovation in drug design and synthesis.
Through a pioneering collaboration with the University of Muenster, my team demonstrated the first application of recurrent Neural Networks to molecular design which has been published in two recent, highly-cited articles. This methodology allows us to design novel drug molecules using machine learning to navigate the breadth of chemical space and to exploit our vast knowledge base.
I am fascinated by applying the latest artificial intelligence and machine learning technologies to drug discovery. It has the potential, together with further progress in automation, to transform the drug discovery process.