Two University of Chicago research groups will help build the pilot phase of an ambitious new National Institutes of Health initiative to make U.S. biomedical research data and tools accessible to more scientists.


Like people, bacteria send out signals to attract and repel each other. New research by CI and Argonne scientists determined the molecular structures of a highly specialized set of proteins used by a strain of E. coli bacteria to communicate and defend their turf, a bacterial "social network" that could lead to new strategies for overcoming infectious diseases.


On the World Health Organization’s target list for eradicating disease, hepatitis C is currently among the most wanted. An estimated 71 million people live with the viral liver disease globally, and 1.75 million new infections occur every year. Yet there is reason for optimism, as new treatments, preventative measures, and, perhaps soon, vaccines create novel strategies for driving down infection.


Bloodflow Model

Future petaflop simulations of realistic biological and physical systems will necessarily involve concurrent multiscale modeling. This project addresses the fundamental mathematical, algorithmic and software issues for simulating a human brain vascular model, the first of its kind, consisting of 100 large 3D arteries (Macrovascular Network, MaN), 10 million arterioles (Mesovascular Network,MeN) and one billion capillaries (Microvascular Network, MiN).

Beagle is a Cray XE6 supercomputer dedicated to biomedical research, funded by the NIH, owned by the University of Chicago Biological Sciences Division, and operated by the Computation Institute. With 24,000 compute cores, 2 petabytes of storage, and a peak speed of 212 teraflops (212 trillion calculations per second), Beagle allows researchers in biology and medicine to dramatically scale up data analysis, modeling, and simulation tasks.

Conte Center logo

The overarching goal of our Center is to identify the genetic and environmental factors that underlie psychiatric disorders, including autism spectrum disorder, schizophrenia, bipolar disorder, depression, anxiety disorders, and child & adolescent psychopathology. Our team develops and applies drastically new mathematical and computational strategies to infer causal relationships among genetic variation, environmental variables and psychiatric phenotypes.

Researcher Spotlight