Washington DC-Baltimore Area
Perform processing and analysis on data collected by various efforts at Northrop Grumman to develop cutting-edge computer technology. Projects include leading an effort to develop software that improves data visibility and accessibility, analyzing causes of computer chip defectivity, and organizing and maintaining databases.
Alongside a professor, researched the efficacy of applying quantum computation to the study of nonlinear dynamical systems. Utilized algorithms such as Quantum Phase Estimation and the Variational Quantum Eigensolver to collect statistics on systems such as the Lorenz Attractor, the Henon-Heiles Attractor, and the Held-Suarez general circulation model.
Working under a professor, developed software using Swift that graphs the probability distributions of various chaotic systems including the Lorenz Attractor, Rossler Attractor, and Henon-Heiles System. This application runs on macOS.
Used Python and JMP to perform data wrangling and analysis to assist in the development and improvement of cutting-edge computer chip technology.