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

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Flatiron Institute A Look at the Flatiron Institute’s Groundbreaking Research

Launched in 2016, The Flatiron Institute has since grown into a bustling hub for computational science, with hundreds of researchers working on problems in astrophysics, biology, mathematics, neuroscience and quantum physics.

Center for Computational Quantum Physics Capturing the Quantum Essence: Solving Simplified Models with High Precision

Center for Computational Neuroscience New Software Streamlines Neuroscience Research

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

Machine Learning at the Flatiron Institute

Machine learning has become an indispensable tool for computational science, and it is an active and growing area of research throughout the Flatiron Institute.

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.

Learning the Universe

This collaboration, directed by Greg Bryan of Columbia University, aims to understand and determine the evolution and initial conditions of our universe, using observations via a Bayesian forward modeling approach.

CCA
| Columbia University
| Lawrence Berkeley National Lab
| Harvard University
| Stockholm University
| Institute D'Astrophysique de Paris
| Université de Montreal
| Princeton University
| Carnegie Mellon University
| Max-Planck Institute for Astrophysics

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.

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

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Research Highlights

August 1, 2023

Conformational heterogeneity and probability distributions from single-particle cryo-electron microscopy

W. S. Wai Shing, Ellen D. Zhong, S. Hanson, E. Thiede, P. Cossio

Single-particle cryo-electron microscopy (cryo-EM) is a technique that takes projection images of biomolecules frozen at cryogenic temperatures. A major advantage…

Current Opinion in Structural Biology

July 11, 2023

Implicit Adaptive Mesh Refinement for Dispersive Tsunami Propagation

M. Berger, Randall J. LeVeque

We present an algorithm to solve the dispersive depth-averaged Serre-Green-Naghdi (SGN) equations using patch-based adaptive mesh refinement. These equations require…

arXiv:2307.05816

June 13, 2023

Low-rank Green’s function representations applied to dynamical mean-field theory

Nan Sheng , Alexander Hampel, Sophie Beck, Olivier Parcollet, Nils Wentzell, J. Kaye, Kun Chen

Several recent works have introduced highly compact representations of single-particle Green’s functions in the imaginary time and Matsubara frequency domains,…

Physical Review B

News & Announcements

Flatiron Institute

September 14, 2023

A Look at the Flatiron Institute’s Groundbreaking Research

Flatiron Scientist Spotlight

September 05, 2023

Capturing the Quantum Essence: Solving Simplified Models with High Precision By Mara Johnson-Groh

Quantum Connect

August 28, 2023

Watch: Jennifer Cano and Cyrus Dreyer on What’s Bringing Their Fields Closer Together

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.

Co-Director, CCQ

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.