From colleagues to collaborators, a cross-department conversation links statistics to plant science

Complicated sets of biological data can be challenging to extrapolate meaningful information from. Wanting to find a better way to look at this data led Berkley Walker, assistant professor at the MSU-DOE Plant Research Laboratory (PRL) and the Department of Plant Biology, to team up with statistician and Assistant Professor Chih-Li Sung from the Department of Statistics and Probability.

The two assistant professors, using data from graduate student Beau David Barber from the University of Illinois at Urbana-Champaign, worked together on finding a new statistical framework that can accurately estimate the parameters in biological models. The findings are published in the SIAM/ASA Journal on Uncertainty Quantification.

Read the full story on the MSU-DOE Plant Research Laboratory newsroom.