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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Our Centers
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.
Initiatives
Initiative for Computational Catalysis
The Simons Foundation Initiative for Computational Catalysis is a new effort within the Flatiron Institute dedicated to the development and application of computational techniques enabling the rational design of more efficient and more affordable catalysts.
Foundation Models of Science
Our goal is to accelerate the development of versatile foundation models tailored for numerical datasets and scientific machine learning tasks. The challenge we are undertaking is to build AI models which leverage information from heterogeneous datasets and across different scientific fields, which, contrary to domains like natural language processing, do not share a unifying representation.
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.
- CCM
- CCN
- CCA
- CCB
- CCQ
Structural and Molecular Biophysics
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.
- CCB
- CCM
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.
Software
A major effort of the Flatiron Institute is the development and support of high-quality, open-source software for research.
Research Highlights
Discriminating image representations with principal distortions
Image representations (artificial or biological) are often compared in terms of their global geometric structure; however, representations with similar global…
International Conference on Learning Representations (ICLR)Learning predictable and robust neural representations by straightening image sequences
X Niu, Cristina Savin, E. P. Simoncelli
Prediction is a fundamental capability of all living organisms, and has been proposed as an objective for learning sensory representations.…
Advances in Neural Information Processing Systems (NeurIPS 2024)Contrastive-equivariant self-supervised learning improves alignment with primate visual area IT
Models trained with self-supervised learning objectives have recently matched or surpassed models trained with traditional supervised object recognition in their…
Advances on Neural Information Processing (NeurIPS)News & Announcements
Center for Computational Biology
March 21, 2025
Center for Computational Astrophysics
March 18, 2025
Center for Computational Mathematics
March 07, 2025
