News

The workshop convened researchers to discuss progress on AI models, tools and data commons for applying AI to biology, medicine, and healthcare.

Globally recognized leader in computational materials becomes the first woman to lead journal’s flagship Computation Physics "Reviews" section.

Monica Para balances a full-time Data Analyst role with part-time online studies in the University of Chicago’s MS in Applied Data Science program. Her week includes office work, AI projects, evening Zoom lectures, assignments, and tech community involvement. She uses weekends for coursework and hiking, emphasizing strong time management.

A University of Chicago–led team launched NASA’s Payload for Ultrahigh Energy Observations (PUEO) experiment via balloon above Antarctica, aiming to detect elusive, ultra-high-energy neutrinos. 

New approach may help shed light on turbulence, other stubborn natural mysteries.

​​In a Data Engineering course taught by Steve Barry, a team of Master’s in Applied Data Science students built a full end-to-end data pipeline, from raw public datasets to an interactive, AI-powered interface. The project gave students hands-on experience designing the kind of data infrastructure that underpins real-world applications, developing the technical skills.

Congratulations to Chemistry postdoc Byungjun Kim and Physics postdocs Arushi Bodas and Thomas Wester, who have received fellowship funding from the Gordon and Betty Moore Foundation.

On February 17, Univision Chicago aired a feature on Space Explorers, a signature program of UChicago’s Kavli Institute for Cosmological Physics.

UChicago scientists clock a driving factor in the evolution of error correction.

Congratulations to early-career scholars Aloni Cohen (Computer Science and DSI), Anna Wuttig (Chemistry), and Zoe Yan (Physics), recognized for their potential to make substantial contributions to their fields.

Astronomer Wendy Freedman shares humanity's quest to measure the expanding universe, revealing an exciting scientific mystery: our measurements don't match. Drawing from decades leading major observatories and the Giant Magellan Telescope project, she explains how the James Webb Space Telescope is achieving unprecedented accuracy in cosmic measurements.

New research by David Awschalom reveals quantum computing is nearing the point of practical use, but scientists still need to make some specific breakthroughs.

Researchers developed RADAR, an AI-powered framework that links gravitational wave detections with radio afterglow data from neutron star mergers. By analyzing data at supercomputing centers, respecting data access limits, and automating coordination, RADAR enables faster, scalable multi-messenger astronomy, demonstrated using GW170817.

AI bots have created their own social network. ChicagoLIVE speaks with Ben Zhao.

Learn about the latest model of Jupiter's deep atmosphere that reveals how much oxygen the planet contains.