Suhavi Wins 2026 OSCARR for Open, Reproducible Research

from left: Joseph Tumber-Dávila, Suhavi, Daniel Chamberlain, and Ansley Booker

Suhavi, a computer science masters student and researcher working interdisciplinarily with the Ecology, Evolution, Environment, and Society (EEES) Program earned the 2026 OSCARR for developing a machine learning approach to count and classify moths, advancing open, reproducible research and creating datasets others can build on. Read more.

By Meghan Wicks
Meghan Wicks Communications Specialist