The mission of the Flatiron Institute is to advance scientific research through computational methods, including data analysis, theory, modeling and simulation.

Simons Foundation

Featured News

Center for Computational Astrophysics One of the Universe’s Earliest Galaxies Revealed Using the James Webb Space Telescope

Center for Computational Quantum Physics Neural Networks and ‘Ghost’ Electrons Accurately Reconstruct Behavior of Quantum Systems

Center for Computational Biology The RNA Detective

Our Centers

Center for Computational Astrophysics

Center for Computational Biology

Center for Computational Mathematics

Center for Computational Neuroscience

Center for Computational Quantum Physics

Scientific Computing Core

It develops, deploys and maintains computational infrastructure — from supercomputers to desktop PCs — dedicated solely to the use of Flatiron researchers.

Collaborative Work

Structural and Molecular Biophysics Collaboration

Underlying all biological processes are molecules and their interactions with each other. However, our ability to understand how these molecules function over biologically relevant scales remains very limited.

Max Planck-New York Center for Nonequilibrium Quantum Phenomena

Columbia University, the Flatiron Institute in New York City and the Max Planck Society in Germany have created a partnership, called the Center for Nonequilibrium Quantum Phenomena.

CCQ
| Columbia University
| Max Planck Institute for the Structure and Dynamics of Matter in Hamburg (MPSD)
| Max Planck Institute for Polymer Research in Mainz (MPIP)

Flatiron Institute Inclusion, Diversity,
Equity & Advocacy (IDEA) Scholar Program

For distinguished scientists with a particular interest in diversity and inclusion

Scholars may engage in a variety of activities, such as working on scientific projects, starting new collaborations, mentoring junior scientists, and organizing or participating in workshops and career development events.

Learn More

A major effort of the Flatiron Institute is the development and support of high-quality, open-source software for research.

View All Software

Research Highlights

December 1, 2022

Approximating the Gaussian as a Sum of Exponentials and Its Applications to the Fast Gauss Transform

S. Jiang, L. Greengard

We develop efficient and accurate sum-of-exponential (SOE) approximations for the Gaussian using rational approximation of the exponential function on the…

Communications in Computational Physics

August 7, 2022

Modules for Experiments in Stellar Astrophysics (MESA): Time-Dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure

A. Jermyn, E. B. Bauer, J. Schwab, R. Farmer, W. H. Ball, E. P. Bellinger, A. Dotter, M. Joyce, P. Marchant, J. S. G. Mombarg, W. M. Wolf, T. L. S. Wong, G. C. Cinquegrana, E. Farrell, R. Smolec, A. Thoul, M. Cantiello, F. Herwig, O. Toloza, L. Bildsten, R. H. D. Townsend, F. X. Timmes

We update the capabilities of the open-knowledge software instrument Modules for Experiments in Stellar Astrophysics (MESA). The new auto_diff module…

arXiv: 2208.03651

August 6, 2022

Quantitative models for building and growing fated small cell networks

Rocky Diegmiller, H. Nunley , S. Shvartsman, J. I. Alsous

Small cell clusters exhibit numerous phenomena typically associated with complex systems, such as division of labour and programmed cell death.…

Interface Focus

News & Announcements

Flatiron Scientist Spotlight

August 09, 2022

The RNA Detective By Mara Johnson-Groh

Four Minutes With

August 08, 2022

Watch: Suzanne Staggs and the Signatures of the Primordial Universe

Center for Computational Astrophysics

August 04, 2022

One of the Universe’s Earliest Galaxies Revealed Using the James Webb Space Telescope

Leadership

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

Director, CCM

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.

Nick Carriero, Ph.D.

Co-Director, SCC

Nick Carriero came to the Simons Foundation in 2014 from Yale University, where he was a senior research scientist in computer science and co-director of the W.M. Keck Biotechnology Resource Laboratory’s high-performance computing resource.

Julianne Dalcanton, Ph.D.

Director, CCA

Julianne Dalcanton joined the Simons Foundation in September 2021 as the director of the Flatiron Institute’s Center for Computational Astrophysics (CCA). Her research specializes in the origins and evolution of galaxies.

Ian Fisk, Ph.D.

Co-Director, SCC

Ian Fisk came to the Simons Foundation in 2014 after working in the computing division at the Fermi National Accelerator Laboratory in Illinois since 2003. Fisk was the Compact Muon Solenoid (CMS) experiment’s computing coordinator at CERN from 2010 to 2013, overseeing operations and improvements…

Antoine Georges, Ph.D.

Director, CCQ

Antoine Georges is a professor of physics at the Collège de France, where he holds the chair in condensed matter physics. He also has joint appointments with École Polytechnique and the University of Geneva. He received his Ph.D. from the École Normale Supérieure in 1988.…

Andrew Millis, Ph.D.

Collaboration Director

Andrew Millis is co-director of the Center for Computational Quantum Physics and associate director for Physics at the Simons Foundation. He has done fundamental research on heavy fermion compounds, quantum phase transitions, ‘colossal’ magnetoresistance materials and high transition-temperature superconductivity.

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.

Eero P. Simoncelli, Ph.D.

Director, CCN

Eero P. Simoncelli is the inaugural director of the Center for Computational Neuroscience. Eero P. Simoncelli’s research interests span a wide range of topics in the representation and analysis of visual images and sounds in both machine and biological vision systems.