Alumni Spotlight - MacKenzie Styrlung

MacKenzie Styrlund graduated with a Bachelor of Corporate Environmental Management, now known as the Corporate Sustainability Systems specialization under Sustainable Systems Management major.

She currently works for Target Corporation in Minneapolis as a Lead Program Manager.

A technology race to stop the mass killing of baby chicks

An estimated six billion newly hatched male chicks are killed world-wide every year. BBE Professor, Dr. Abdennour Abbas, is employing machine learning to try and identify differences in gasses released by male and female eggs. 

BBSEM Ph.D. candidate awarded Doctoral Dissertation Fellowship

Chenxi Lin, a Ph.D. candidate in BBSEM, has been awarded the Doctoral Dissertation Fellowship. The Doctoral Dissertation Fellowship (DDF) gives the University's most accomplished Ph.D. candidates an opportunity to devote full-time effort to an outstanding research project.

BBE researchers develop new tool to help farmers make crop input decisions

The new tool developed by BBE faculty allows farmers to create a budget balance sheet of any nitrogen reduction plans and see the economic and environmental cost, return and margins, all customized to fields under their management.

BBE student pursues career in natural resources engineering

BBE senior and future water resources engineer Katherine Tomaska reflects on her experiences at the University as she prepares to graduate.

Alumni Spotlight - Meghan Pieper

Meghan Pieper graduated with a degree in Bioproducts Engineering in 2019. She currently works for Puris as a process engineer helping to start up a new pea protein plant, which will be used for plant based protein solutions.

Get to know our almumna!

Q&A with graduate student Jaime Thissen

A Q&A regarding the research project graduate student Jaime Thissen works on

New BBE study could help reduce agricultural greenhouse gas emissions

BBE researchers significantly improved the performance of numerical predictions for agricultural nitrous oxide emissions. The first-of-its-kind knowledge-guided machine learning model is 1,000 times faster than current systems and could significantly reduce greenhouse gas emissions from agriculture.