CV
Education
- Ph.D. in Societal Computing, 2019-2025 (expected)
Carnegie Mellon University, Pittsburgh, PA
Thesis Topic: Effective countermeasures to misinformation
Advisor: Prof. Kathleen M. Carley - M.S. in Computer Science with a Specialization in Computational Operations Research, 2014-2016
The College of William and Mary, Williamsburg, VA
Capstone Project: “Optimizing voter wait times” simulation and paper
Advisor: Prof. Lawrence M. Leemis - B.S. in Mathematics with a minor in Computer Science, 2010-2014
The College of William and Mary, Williamsburg, VA
Graduated summa cum laude, with Departmental Honors in Mathematics
Thesis: “Nonlinear Models of Zooplankton Communities”
Advisor: Prof. Sarah Day and Prof. Drew LaMar
Work experience
Data Scientist, August 2018 to January 2020
MITRE, McLean, VAIT/Modeling Analyst, July 2016 to July 2018
Genworth, Richmond, VAModeling & Simulation Intern, Summer 2015
Newport News Shipbuilding, Newport News, VAResearch Assistant, January 2012 - August 2014
The College of William and Mary, Williamsburg, VA
Teaching experience
While a PhD student at Carnegie Mellon University, I was a teaching assistant for the following courses:
- EPP 19640/S3D 17801/S3D 17685 - Dynamic Network Analysis, Spring 2024
- CASOS Summer Institute - Five summer sessions (2020-2024). Topics I taught include network comparison and prediction, one and two-mode metrics, and project OMEN.
While both an undergraduate and a graduate student at the College of William and Mary, I was a teaching assistant for the following courses:
- MATH 112 - Calculus II, Fall 2014 to Spring 2016
- MATH 345/MSCI 648 - Introduction to Mathematical Biology, Fall 2013
While a graduate student at the College of William and Mary, from Fall 2014 to Spring 2016 I was a grader for the following courses for at least one semester:
- MATH 106 - Elementary Probability and Statistics
- MATH 302 - Ordinary Differential Equations
- MATH 452/552 - Mathematical Statistics
See a more detailed CV here.