Proteins are the building blocks of all cells and at the same time their most important tools. How exactly are these “molecular machines” structured and how do they work? Biophysicist Cecilia Clementi uses artificial intelligence methods to study proteins in order to understand their structure, dynamics and function.
In her presentation, she takes us on a journey into the universe of atoms and uses examples to show how machine learning is changing the process of scientific discovery - particularly in the biophysical sciences. The Einstein Professor of Theoretical and Computational Biophysics at Freie Universität Berlin will also talk about the Nobel Prizes in Physics and Chemistry in 2024, which have been awarded for the invention of machine learning and its use in the study of protein structure and design.
Cecilia Clementi
Cecilia Clementi is a Professor of Theoretical and Computational Biophysics at Freie Universität Berlin. She is the first scientist to be permanently recruited to work in Berlin following her support as an Einstein Visiting Fellow. The US-Italian citizen will strengthen research in theoretical and computer-assisted biophysics in Berlin and build a bridge between experimental biophysics and applied mathematics.