I am a mathematician and computer scientist at Booz Allen Hamilton where I am part of the Defense and Intelligence Group, applying new and existing ideas in machine learning and social network analysis to create new models, algorithms, and statistical techniques for analyzing international relations and geopolitical conflicts.
In addition to my professional work, I am interested in topics in theoretical computer science including algorithms, graph theory, and computability theory. I enjoy spending my free time investigating the computational complexity of games and puzzles.
- I was awarded the "Passionate Service Award" by Booz Allen Hamilton for my work on social network analysis methodology and my presentation at NASN 2018. (December, 2018)
- I presented How to be Wrong, but Useful: Tool Selection in Social Network Analysis at NASN 2018! Stay tuned for further publication, and feel free to reach out for further materials in the meanwhile. (December, 2018)
M.S. in Computer Science, the Georgia Institute of Technology, expected 2020
B.S. in Mathematics with honors, the University of Chicago, 2016
B.A. in Philosophy, the University of Chicago, 2016