I completed my undergraduate studies in Chemistry and Mathematics at Northeastern University in 2018, and defended my Ph.D.in Chemistry and Scientific Computing at the University of Michigan in 2023. My dissertation focused on computational and theoretical advances in quantum chemical methods. My general interests include:

• high-performance computing
• computational chemistry and physics
• electronic structure theory
• data analysis
• machine learning
• programming languages

My graduate funding was provided by the National Science Foundation through the Graduate Research Fellowship program (GRFP). I also received funding from the Department of Energy and the University of Michigan Chemistry Department and Rackham Graduate School.

The slides for my dissertation are available here. They are best viewed from a desktop or laptop browser with a 16x9 aspect ratio. Some browser extensions may break certain features in the reveal.js slides.

I have recently started experimenting more with CUDA/C++, the Rust programming language, and various numerical libraries in Python. I will try documenting my experience on this site more regularly as/if time allows.