McKelvey School of Engineering

David Frankel, who is studying computer science at the McKelvey School of Engineering and women, gender and sexuality studies in Arts & Sciences, is leveraging his studies to create technology that serves the social good. Frankel will be among the 360 students who will participate in the December degree candidate recognition ceremony Dec. 11 at the Athletic Complex.

Washington University in St. Louis faculty from the School of Medicine and the McKelvey School of Engineering have been elected fellows of the National Academy of Inventors, the highest professional distinction reserved solely for academic inventors.

Alumnus Gaurav Garg and his wife, Komal Shah, help forward the university’s mission by serving in numerous leadership roles, and generously supporting student scholarships and transformative faculty research.

Rajan Chakrabarty and Randall Martin research fine particulate matter, trying to create a complete picture of the world’s leading cause of environment-related diseases.

A team of researchers co-led by Guy Genin at the McKelvey School of Engineering has made a discovery about how tendon and bone attach in the shoulder joint, shedding light on rotator cuff injuries and how to treat them.

A team led by Zhen (Jason) He at the McKelvey School of Engineering earned second place at the 2021 Intelligent Water Systems Challenge for its solution to a wastewater treatment problem.

Despite others’ previous claims, the lab of Yevgeniy Vorobeychik and collaborators have determined it’s not so easy for a neural network to recreate a person’s face from DNA.

A team of researchers led by Song Hu at the McKelvey School of Engineering has developed a two-step denoising technique for photoacoustic microscopy, a method that allows researchers to see tiny vessels in the body.

Researchers at Washington University are receiving one of 19 grant awards that will support data science research and training activities in Africa. The researchers will focus on developing new training programs in health data science in Rwanda.

A multidisciplinary team of researchers at Washington University is developing a machine-learning-based early warning system to predict cancer patients’ deterioration and improve patient outcomes.