Astronomical Data
The Astronomical Data group develops and maintains advanced tools for the astrophysics community, especially ones for building probabilistic models and making precise measurements. It builds these tools by carrying out in-house data analysis projects that answer important scientific questions.
CCA
Biophysical Modeling
The Biophysical Modeling group focuses on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics.
CCB
Computational Vision
We are interested in the analysis and representation of visual information, including empirical study of the structure of visual scenes, construction of mathematical theories for representation and processing that structure.
CCN
Cosmology X Data Science
The Cosmology X Data Science group develops novel algorithms and ways of thinking to apply to datasets to answer fundamental questions about the cosmos.
CCA
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.
CCB
Dynamics and Control
At the Center for Computational Quantum Physics, we are developing the conceptual basis, theoretical formalism and computational tools needed to use the quantum nature of light to understand and control quantum phenomena in complex systems.
CCQ
Galactic Dynamics
The Galactic Dynamics Group explores how structures in the universe, such as dark matter and stellar halos, galaxy disks, and satellite galaxies and streams, are shaped by gravitational interactions and collective dynamics.
CCA
Galaxy Formation
The Galaxy Formation group is developing the numerical tools and physical insights necessary to understand how galaxies form and evolve within a cosmological context.
CCA
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.
CCB
Gravitational Wave Astronomy
The detection of gravitational waves from the merging binary black hole GW150914, followed by the (likely) binary black hole mergers LVT151012, GW151226, and GW170104, means the era of gravitational wave astronomy is upon us.
CCA
Image and Signal Processing
At CCM, we develop new computational and statistical methods, and accompanying software, for the analysis of large, complex data sets, especially those that arise from high-throughput scientific experiments.
CCM
Neural Circuits and Algorithms
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.
CCN
NeuroAI and Geometric Data Analysis
Our group develops mathematical theories for understanding how neurons collectively give rise to behavior in biological and artificial neural networks. Our current focus is on addressing this question through two broad approaches at the intersection of computational neuroscience and deep learning:
CCN
Numerical Analysis
The direct numerical simulation of many scientific processes remains impractical, even with modern supercomputers.
CCM
Planet Formation
The Planet Formation group studies the origin and evolution of planetary systems, as well as related problems in star formation, protoplanetary disks, exoplanets and our Solar System.
CCA
Quantum Materials
What arrangement produces a material with an optimal thermoelectric figure of merit, or a combination of magnetic and ferroelectric properties, or a high superconducting critical temperature?
CCQ
Software Libraries
A major effort of the CCQ is the development and support of high quality open-source software for quantum many-body physics research. Making software which is reliable, efficient, and productive accelerates discovery and fosters scientific consensus and reproducibility.
CCQ
Stars and Compact Objects
The Stars and Compact Objects group develops the theoretical framework and computational methods needed to study the life and death of stars, and the astrophysics of neutron stars and black holes.
CCA
Statistical Analysis of Neural Data
We develop statistical models and open-source computational tools to extract insights from neural data. We are particularly interested in characterizing flexibility and variability in neural circuits—e.g., how do the dynamics of large neural ensembles change over the course of learning a new skill, during periods of high attention or task engagement, or during development and aging.
CCN
Systems Biology
At the Systems Biology group, we are developing new methods to learn the networks that run life’s program.
CCB
Theory and Methods
The quantum many-body problem is one of the hard problems of complexity theory: A direct solution requires computational resources that grow exponentially with the size of the problem to be solved.
CCQ
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