
Ph.D. in theoretical chemistry
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University of Georgia
Data Scientist
June 19, 2026 – Present
ccqc-coursework
November 27, 2021 – November 27, 2021
Code from PhD coursework at UGA (2015 to 2019)
View Projectsedre
February 17, 2020 – March 26, 2020
A lightweight parser for computational quantum chemistry
View Projectoptavc
October 16, 2019 – Present
Parallel finite difference optimization and hessians from arbitrary single point energies
View ProjectQuax
September 3, 2019 – August 21, 2024
Arbitrary-order derivatives of popular electronic structure methods, such as Hartree-Fock and coupled cluster theory.
View ProjectNotes-and-things
May 14, 2019 – November 25, 2019
Attempting to share some concepts I've learned in grad school.
View ProjectARGP
June 30, 2018 – December 31, 2021
Autoregressive Gaussian process (ARGP) modeling, a transfer learning technique applied to chemical energy surfaces
View Projectsummer-program
April 16, 2015 – Present
Repository for all summer program related programs
View ProjectCultural Fit Analysis
The candidate's project history is heavily skewed towards academic and scientific research, specifically computational chemistry and physics. While this demonstrates deep technical expertise, the diversity of projects and exposure to broader industry applications for a typical 'Data Scientist' role appears limited. The current role at the University of Georgia as 'Data Scientist' is a positive, but without further details, it's hard to assess alignment with a general industry data science role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate a strong focus on individual technical contributions in scientific research.