About
Computer Science PhD student at CU Boulder advised by Dr. Daniel B. Larremore. I apply methods from machine learning, networks, and statistics to the dynamics of science in a field called the "science of science." My current research is about applying mapping the structure and dynamics of the labor market for interdisciplinary scientists in academia.
Before joining the Larremore Lab, I worked as a software and algorithms developer for air and missile defense systems at the Johns Hopkins University Applied Physics Laboratory. There, I had the privilage of learning about combinatorial optimization and simulation methods from Dr. Geoff Clapp.
I graduated in 2023 from Carleton College (in Northfield, MN) with a B.A. in Computer Science and a minor in mathematics. During my time at Carleton, I did research in choice modeling and ranking theory with Prof. David Liben-Nowell and studied statistical filtering algorithms used to characterize and remove noise from sensor data with Prof. Jay Tasson as a member of the LIGO Scientific Collaboration.
I am interested in developing techniques to collect and combine open, unstructured data from sources like the open Web in order to better model and understand human behavior and social systems.
Publications & Preprints
† denotes equal contribution