About me

I’m a computational physicist and software developer with 6 years of experience in scientific programming and analysis. As a researcher I solve challenging problems in condensed matter physics, have collaborated with research groups worldwide, and have over 10 publications, including in top journals such as Nature and ACS Nano. As a developer I have experience developing for heterogeneous and supercomputing systems, writing both clear and high-performance code, and designing novel algorithms for scientific applications.

My programming background includes C++, Rust, TypeScript, and Python. My physics background covers theoretical Raman spectroscopy, molecular dynamics, and density functional theory, specifically relating to graphene and carbon-based nanostructures such as graphene nanoribbons. I’m also interested in machine learning, particularly reinforcement learning, and have done some work in that field. See my CV or my LinkedIn page for more information about my employment history/to contact me, my ORCID page for a current list of publications, and my GitHub page for a portion of the software development that I’ve done.