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

Developmental Dynamics The Developmental Dynamics group combines experiments, theory and computing to elucidate the contributions of encoded genomic instructions and self-organizing physical mechanisms to embryonic development. 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

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

December 03, 2019

Unexpected Forces Cause Rotor Proteins to Self-Organize By Susan Reslewic Keatley

November 01, 2019

Bioengineer Stanislav Shvartsman Heads CCB’s New Developmental Dynamics Group

September 03, 2019

The Stormy Fluid Dynamics of the Living Cell (Physics Today)

Featured Events

December 2019

Conference
Universality: Turbulence Across Vast Scales

December 2-6, 2019
8:00 AM - 5:00 PM

162 5th Avenue
2nd Floor Auditorium

Event
CCB Colloquia Schedule

Multiple dates
All speakers are scheduled from 11:30-12:30pm unless otherwise noted.

Ingrid Daubechies Auditorium

Upcoming Events

December 2019

06 Fri
- Lecture 1:15 - 2:45 PM
  Neuroscience Group Meeting
  
  Shiva Farashahi, Ph.D.Flatiron Research Fellow, Neuroscience, CCB, Flatiron Institute
09 Mon
- Meeting 10:00 - 11:15 AM
  Systems Biology Group Meeting
- Meeting 10:00 AM - 12:00 PM
  Biophysical Modeling Group Meeting
10 Tue
- Meeting 12:00 - 2:30 PM
  Genomics Group Meeting
- Seminar 1:15 - 2:15 PM
  Brown Bag Seminar
  
  Aidan Daly, Ph.D.Flatiron Research Fellow, Systems Biology, CCB, Flatiron Institute
12 Thu
- Seminar 11:30 AM - 12:45 PM
  CCB Seminar: Michael Wigler
- Meeting 1:00 - 2:15 PM
  Neuroscience Group Meeting
16 Mon
- Meeting 10:00 - 11:15 AM
  Systems Biology Group Meeting
- Meeting 10:00 AM - 12:00 PM
  Biophysical Modeling Group Meeting
17 Tue
- Colloquia 11:30 AM - 1:00 PM
  CCB Colloquium: Lisa Fauci

Research Highlights

November 1, 2019

Lattices of Hydrodynamically Interacting Flapping Swimmers

A. U. Oza, L. Ristroph, M. Shelley

Fish schools and bird flocks exhibit complex collective dynamics whose self-organization principles are largely unknown. The influence of hydrodynamics on…

Physical Review X

October 25, 2019

Relating Rheotaxis and Hydrodynamic Actuation using Asymmetric Gold-Platinum Phoretic Rods

Q. Brosseau, F. Balboa Usabiaga, E. Lushi, Y. Wu, L. Ristroph, J. Zhang, M. Ward, M. Shelley

We explore the behavior of micron-scale autophoretic Janus (Au / Pt) rods, having various Au / Pt length ratios, swimming…

Physical Review Letters

October 3, 2019

Rotating Membrane Inclusions Crystallize Through Hydrodynamic and Steric Interactions

N. Oppenheimer, D. Stein, M. Shelley

We show that rotating membrane inclusions can crystallize due to combined hydrodynamic and steric interactions. Alone, steric repulsion of unconfined…

Physical Review Letters

Director

Michael Shelley, Ph.D.

Director, CCB

Michael Shelley joined the Simons Foundation in 2016 to work on the modeling and simulation of complex systems arising in physics and biology.

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