I am a PhD student in Mie Andersen’s group investigating HCN polymerization on amorphous nanosilicates in the interstellar medium using machine learning.
Prior to my PhD, I was a master’s student in Mie’s group, where my work focused on using generative AI to design metal alloy catalysts for the reverse water-gas shift reaction. During this project, I implemented a conditional discrete denoising diffusion probabilistic model, commonly used in image and text generation tasks. The model enabled targeted sampling of surfaces on a desired catalytic activity and formation energy with high efficiency.
Currently, I am studying HCN polymerization on amorphous nanosilicates in interstellar clouds using machine-learned interatomic potentials. This involves constructing workflows for generating datasets, training potentials and predicting various binding- and barrier energies, yielding insights into reaction mechanisms and pathways.
