I started my PhD in MSE in August 2022 and am co-advised by Dr. Daryl Chrzan. My work focuses on machine learning interatomic potentials (MLIPs). Specifically, I am working on efficient dataset generation and model benchmarking. This work is at the intersection of data science, chemistry, quantum mechanics, and high performance computing. Earlier in my PhD, I was working on expanding the Set of Small Ordered Structures (SSOS) method for predicting the properties of random solid solutions.

I earned my B.S. in Materials Science and Engineering at Georgia Tech in May 2022. During my undergraduate studies in Summer 2019, I was a corrosion intern at Oak Ridge National Lab, where I studied the oxidation behavior of 3D printed nickel-based superalloys. Then, in Summer 2020, I was an REU student at Texas A&M University, where I worked under Dr. Dimitris Lagouas to automate the data analysis for actuation fatigue tests of shape memory alloys. Over Summer 2021, I moved to Sandia National Lab in Albuquerque, NM to automate Transmission Electron Microscope image analysis; this project was under the joint supervision of Dr. Aaron Stebner and Dr. Brad Boyce.

Outside of the lab, I enjoy video games, volunteering, progressive rock and indie pop music, and good urbanism.