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 artificial intelligence solutions for drug discovery.
My work revolves around better understanding how we can use machine learning and artificial intelligence (AI) to deliver small molecule clinical candidates faster. Using generative AI, we are now able to explore the chemical space extremely efficiently with accurate predictions of synthetic routes and molecular properties
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.
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.
Key Achievements
2021
2021
2018
Featured publications
Veeva ID: Z4-57592
Date of preparation: August 2023