Center for Computational Biology

Simons Foundation

The Center for Computational Biology develops new and innovative methods of examining data in the biological sciences whose scale and complexity have historically resisted analysis.

CCB’s mission is to develop modeling tools and theory for understanding biological processes and to create computational frameworks that will enable the analysis of the large, complex data sets being generated by new experimental technologies.

Groups

Biophysical Modeling The Biophysical Modeling group focuses on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics. Read More

Genomics An immensely complex molecular network of interactions forms the foundation of human biology and disease. Genomic approaches provide a particularly illuminating window to biological systems, and when combined with advanced analysis allow us to learn and model this complexity. Read More

Neuroscience Our goal is to understand how the brain analyzes large and complex datasets streamed by sensory organs in order to aid efforts at building artificial neural systems and treating mental illness. Read More

Numerical Algorithms The Numerical Algorithms group develops new computational and statistical methods for the analysis of large, complex datasets and for the accurate numerical simulation of biological processes. Read More

Systems Biology At the Systems Biology group, we are developing new methods to learn the networks that run life’s program. Read More

News & Announcements

Study Shows How the Body Prevents Potentially Useful Bacteria from Causing Disease (NYU Langone News)

Neuropixels Developer James Jun Joins CCB’s Numeral Algorithm Group

Mathematician Alex Barnett Joins CCB as Leader of Numerical Algorithms Group

Research Highlights

2018

Anisotropic swim stress in active matter with nematic order

W. Yan, John F. Brady

New Journal of Physics

May 4, 2018

Measuring and modeling polymer concentration profiles near spindle boundaries argues that spindle microtubules regulate their own nucleation

Bryan Kaye, Olivia Stiehl, Peter J. Foster, M. Shelley, Daniel J. Needleman, S. Fürthauer

Abstract Spindles are self-organized microtubule-based structures that segregate chromosomes during cell division. The mass of the spindle is controlled by…

New Journal of Physics

2018

Active matter invasion of a viscous fluid and a no-flow theorem

C Miles, A Evans, M. Shelley, S Spagnolie

We investigate the dynamics of hydrodynamically interacting motile and non-motile stress-generating swimmers or particles as they invade a surrounding viscous…

arXiv:1803.05543

Director

Leslie Greengard, M.D., Ph.D.

Director, CCB

Leslie Greengard joined the Simons Foundation in 2013 as founding director of the Simons Center for Data Analysis, now called the Center for Computational Biology. Prior to that, Greengard served as director of the Courant Institute of Mathematical Sciences at New York University.

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