McKelvey School of Engineering

Research from the lab of Fangqiong Ling at the McKelvey School of Engineering finds SARS-CoV-2 material in wastewater reflects illnesses in communities. It also helps establish guidance for future studies.

Nicole Briceño, a first-year student at Washington University, took part in the National LOFT Leadership Institute Open Space Summit and the 35th Hispanic Heritage Month Celebration in September in Washington.

Yixin Chen will work with two McKelvey School of Engineering alumni on a collaborative project with the U.S. Department of Energy and Lincoln University to improve biomanufacturing.

McKelvey School of engineering faculy Zhen (Jason) He, Young-Shin Jun, Vijay Ramani and Fuzhong Zhang will lead new projects focused on clean energy technologies thanks to $10.7 million in new funding, collectively, from the U.S. Department of Energy.

A team of researchers including Joshua Yuan at the McKelvey School of Engineering has developed a system that uses carbon dioxide to produce biodegradable plastics. They could someday replace the nondegradable plastics used today.

Pioneering research at Washington University helped people understand the fundamental role of gut microbes in human health and disease. Now a community of local scientists is learning more about the diverse microbial systems that support animals, plants and ecosystems.

Shantanu Chakrabartty, at the McKelvey School of Engineering, will lead a project funded by a three-year $1.1 million grant from the National Science Foundation to make artificial intelligence systems more energy-efficient.

An award from Wellcome Leap will support Michelle Oyen’s study of fetal growth restriction during gestational development. The program aims to reduce stillbirth rates by half.

A discovery in the lab of Amit Pathak at the McKelvey School of Engineering connects mechanobiology to nuclear condensates in healthy cells.

Researchers at the McKelvey School of Engineering have developed a new model that can accurately create a continuous 3D model from a set of 2D images without being trained on previous images.