Hi, there
Welcome to my personal website. At the moment there’s not a lot here, apart from a quick about page. 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 and physics-based simulations. My research encompasses 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. For an up-to-date list of my publications, please visit my Google Scholar profile.
Background
- Originally, I studied theoretical physics and was particularly interested in astrophysics. During my undergraduate, I mainly worked on data analysis and camera calibration for the Cherenkov Telescope Array, both at the Max Planck Institute for Nuclear Physics, Heidelberg, and 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. Here 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’ve 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 students, both at Cambridge and Imperial.