Experience
I work full time as a software engineer primarily working on machine learning and data analytics
software using tools like Python, AWS Cloud, and docker.
Outside of my full time job I do research as
an independent research
scientist. My research work is largely interdisciplinary and is at the intersection of quantum computing,
AI/ML and data science.
I also try to contribute to
open source scientific software
such as
QuTiP as well as open source teaching resources for data science/ML such as the following on
Bayesian statistics.
Education
I hold a B.S. in computer science and
physics with a minor in math from the University of Virginia. While there I completed my
distinguished major thesis
on machine learning, quantum computing & network science supervised by
Olivier Pfister.
I'm currently pursuing a M.S. in computer science focused on machine learning
at the Georgia Institute of Technology.
Honors
• University of Virginia Echols Scholar, 2019
• University of Virginia Computer Science B.A. - Highest distinction, 2022
• University of Virginia Physics B.S. - Distinction, 2022
