Data Sciences and Machine Intelligence

Researchers create sophisticated information biology computer models that offer pandemic responders vital information.

The University of Virginia Biocomplexity Institute team is on the front lines of the national modeling, monitoring, planning and response to COVID-19. The institute integrates...

University of Virginia's Biocomplexity Institute and Initiative develops COVID-19 dashboard to help people deal with the coronavirus pandemic through historical data and up-to-date figures.

Researchers at UVA’s Biocomplexity Institute have won a new $10 million, five-year “Expeditions in Computing” grant from the National Science Foundation to use innovative technological and scientific advancements to plan for, and respond to, epidemics and pandemics, including outbreaks of deadly...

Computer science professor Madhav Marathe, a division director at the University of Virginia’s Biocomplexity Institute and Initiative, leads a team to develop a no cost system that can project not just how many infections or deaths might result from the new coronavirus but also show how many...

Madhav Marathe, a professor of computer science and biocomplexity, and a division director at UVA’s Biocomplexity Institute, discusses the novel coronavirus COVID-19 epidemic.

Computer science students Soukarya Ghosh and James Yun developed a coronavirus tracking website with old high school friends who are now at Stanford and Virginia Tech.

The Defense Advanced Research Projects Agency, or DARPA, is helping to fund “Reliable Analytics for Disease Indicators,” a collaborative project using data collected on the UVA-developed mobile app Sensus.

Researchers with UVA Engineering’s Biocomplexity Institute are using computer modeling to reduce the severity of flu outbreaks.

Research in Social Computing Detects Meaningful Patterns in Messy Data

Li continues research on algorithms that make predictive models more accurate and productive.

Research Charts Path for More Intelligent Wireless Communications

Shen hopes to innovate deep learning theory and develop new tools to clear a path toward more intelligence wireless communications.