Caption: Matthias Wieland,
DVM, PhD, DECBHM
(Credit: Matthias Wieland)
Today’s trailblazing dairy science innovations are built on the incredible work being done by a diverse, interconnected, global scientific community. Get to know a fellow community member in our ongoing Author Spotlight series.
Matthias Wieland, DVM, PhD, DECBHM, is the Robert Hovey Udall Assistant Professor in the Department of Population Medicine and Diagnostic Sciences at the Cornell University College of Veterinary Medicine. With a background in large-animal medicine, herd health management, and epidemiology, he leads an applied program that aims to improve and help us better understand the milk-harvesting process.
We chatted with Matthias to understand what’s exciting him about his latest research findings, his achievable advice on managing expectations around scholarly writing, and the joy of working with dairy producers.
Connect with Matthias on LinkedIn.
What specific questions or challenges within the field of dairy science are you currently working on?
One research area of mine is the optimization of the milk-harvesting process in dairy cows. Another interest is the application of computer vision to facilitate cowside evaluation, including udder health–related assessments such as teat condition and udder hygiene, as well as animal welfare–related traits. An example of the latter is our recent work on automating hock scoring through computer vision in dairy cows. Recently, I have revived my passion for newborn calf management.