I am a researcher working in computational material science.
In my work, I develop methods of mathematical physics, materials modelling and machine learning for applications in condensed matter science. In particular, I am interested in how materials manifest their properties at the different levels of detail: from the periodic table (as a set of atoms) to chemical composition to crystal structure to electronic profile. An accurate prediction at every level in this pipeline can navigate us towards rapid discoveries of advanced functional materials.
I enjoy combining approaches across disciplines to foster ideas and accelerate discoveries.
Here is a highlight of my work by Scientific American.
Check out my projects at GitHub.