News & Events

It’s sometimes possible to link public face images with public genomic data, but the success rates are well below what prior research papers suggest in idealized settings, new research from Yevgeniy Vorobeychik's lab shows. (iStock photo)

Re-identifying faces from genomic data is more difficult than previously thought

Yevgeniy Vorobeychik and collaborators used real-world photographs found on social media.

11.17.2021

Pryce Yebesi, second from left, and his team founded Utopia Labs in September and have already earned $1.5 million in investments. Photo courtesy of Pryce Yebesi

Engineering student takes the leap to launch Utopia Labs

Pryce Yebesi, a student studying computer science at McKelvey Engineering, has found success in the world of decentralized autonomous organizations.

11.12.2021

Wearable fitness trackers help physicians track patient health

Chenyang Lu applies machine learning, Internet of Things expertise to improve patient outcomes.

11.04.2021

A multi-disciplinary team of researchers at Washington University in St. Louis is developing a machine-learning-based early warning system model to predict this deterioration and improve patient outcomes. (iStock photo)

Early warning system model predicts deterioration of hospitalized cancer patients based on clinical data

The model, developed in Chenyang Lu’s lab, may help warn of pending patient deterioration.

11.03.2021

Members of the McKelvey family and university representatives (WashU photo)

James M. McKelvey, Sr. Hall dedicated Oct. 15

The building honors the late longtime dean James M. McKelvey Sr..

10.25.2021

Clockwise from top left: Christine O'Brien, Ian Bogost, Eric Corbett, Aravind Nagulu, Yiannis Kantaros

New faculty to join McKelvey School of Engineering in 2021-2022

The new faculty bring a wide range of expertise to bolster teaching, research.

09.28.2021

Extreme close-up of a foam material. (Image: Shutterstock)

Garnett, Ottley join $15M Institute for Data-Driven Dynamical Design

Roman Garnett and Alvitta Ottley, both in computer science & engineering, are part of a multi-institutional, interdisciplinary team to harness the power of data science to discover fundamentally novel materials.

09.28.2021

Example images reconstructed using (A) regridding or (B) the Phase2Phase method developed by Hongyu An and Ulugbek Kamilov. The Phase2Phase image was obtained by directly applying the Phase2Phase network trained on CAPTURE images to image in (A).

New deep learning method boosts MRI results without requiring clean training data

Ulugbek Kamilov, Hongyu An lead team combining deep learning, radiology expertise.

08.25.2021

Scialog awards $50,000 grant to Kamilov to merge imaging technologies

Using computational imaging and machine learning, he'll work with a team on bringing microscopic resolution to MRI imaging.

08.10.2021

CodeBlack offers mentoring, support to computer science students of color

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