My path into analytics began in behavioral ecology. As a graduate student (M.A., Princeton University) and an undergraduate researcher (B.S., Tulane University), I studied how ecological and evolutionary pressures produce the diversity of behavior observed among bird species, work that also took me to a number of field sites as a research technician between the two degrees.

The statistical dimension of that research proved as compelling to me as the fieldwork, and it drew me toward analytics as a career. I have since worked in two settings (equity trading and higher education administration) that have more in common than their differences suggest: both are fundamentally exercises in people analytics, measuring how individuals and teams perform and reporting those findings to the people who make decisions.

Within analytics, I have come to specialize in data infrastructure: designing database structures and the automated processes that keep them current, so that dashboards and reports rest on data that is accurate and up to date. I also value continuous learning and the deliberate adoption of methods and tools that make analytical work more rigorous and efficient; I am currently pursuing an M.S. in Data Science at the University of Colorado Boulder.

Outside of work, I enjoy hiking and backpacking, running, wildlife photography, language learning, and reading.