mechanistic computational chemistry, electronic structure theory, energy decomposition analysis, data-efficient machine learning, and reproducible modeling workflows for predictive molecular design.
I am motivated by understanding structure–reactivity relationships and transforming
complex molecular data into predictive, interpretable computational
models.
My favourite moment in the office/lab is when students find innovative solutions to difficult problems.
