Portrait of Lars Schaaf

Lars Schaaf

Machine Learning for atom-scale design

Hi, there

Welcome to my personal website. I’m interested in designing new materials and proteins from the atomic-scale upward. My background is in geometric machine learning and accelerating atom-scale simulations with quantum mechanical accuracy. Currently, I am an Encode AI research fellow working at the intersection of machine learning, physics-based simulations, and generative AI. During my PhD, I developed machine learning force fields for atom-scale simulations (see Background for more details). For an up-to-date list of my publications, please visit my Google Scholar profile.

Atom-scale simulation visualisation

Background

  • Originally, I studied theoretical physics. During my undergraduate, I undertook multiple research placements, where I mainly worked on data analysis and camera calibration for the Cherenkov Telescope Array at the Max Planck Institute for Nuclear Physics in Heidelberg and at the University of Oxford.
  • I then went on to do a PhD with Prof. Gábor Csányi at the University of Cambridge focusing on the development and application of machine learning force fields, particularly in capturing non-local effects and creating ML tools for understanding reactions at complex interfaces. Specifically, I worked on heterogeneous catalysis in collaboration with BASF and carbon capture with the Forse Group.
  • Subsequently, I joined the Cavendish Laboratory, Cambridge as a Research Associate and Junior Research Fellow of Wolfson College. At the Cavendish, I worked with Prof. Christoph Schran on using 3D molecular representations for direct property prediction and making ML force fields more resilient to noisy data.
  • Recently, I joined forces with Prof. Aron Walsh and Pillar to work on inverse material design as part of the Encode AI Research Fellowship, funded through ARIA and the Department for Science, Innovation and Technology. Additionally, I work on enzyme design in collaboration with the Baker Lab at the Institute of Protein Design.

Collaboration

Please feel free to reach out to me if any of my research interests resonate with you. I am also interested in working with Master’s students, both at Cambridge and at Imperial College London.