Built from one of the world’s largest collections of epigenetic data, the newly developed model Sei predicts how DNA sequence variation alters gene expression, advancing our understanding of human traits, disease and evolution.
It develops, deploys and maintains computational infrastructure — from supercomputers to desktop PCs — dedicated solely to the use of Flatiron researchers.
Machine learning has become an indispensable tool for computational science, and it is an active and growing area of research throughout the Flatiron Institute.
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.
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.
- | 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
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.
A major effort of the Flatiron Institute is the development and support of high-quality, open-source software for research.
Cryo-electron microscopy (cryo-EM) has recently become a premier method for obtaining high-resolution structures of biological macromolecules. However, it is limited…arXiv:2212.05320
Concurrent ARFI Plaque Imaging and Wall Shear Stress Measurement in Human Carotid Artery, with Validation by Fluid Structure Interaction Model.
The rupture potential of an atherosclerotic plaque is dependent on both the plaque’s composition and the shear stresses it encounters…IEEE International Ultrasonics Symposium
SARS-CoV-2 Outbreak Dynamics in an Isolated US Military Recruit Training Center With Rigorous Prevention Measures
Marine recruits training at Parris Island experienced an unexpectedly high rate of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection,…Epidemiology
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.