Biography
We are an interdisciplinary team that focuses on understanding how distributed neural circuits gives rise to coordinated behaviors and perception. We take a two-pronged approach to this problem by conducting in vivo neuroscience experiments and developing data science tools.
On the neuroscience side, we investigate functional organization and dynamic coordination in brain by combining in vivo multi-scale electrophysiology and optogenetics in rodents. This multi-modal, multi-scale approach provides the simultaneous breadth of coverage and spatio-temporal resolution required to determine neural computations at the speed-of-thought.
On the data science side, we develop analysis tools for (neuro)-science, including statistical-machine learning algorithms, dynamic hierarchical models, and data standards/formats. These interpretable and predictive tools provide enhanced insight into the generative processes that produce data.
On the neuroscience side, we investigate functional organization and dynamic coordination in brain by combining in vivo multi-scale electrophysiology and optogenetics in rodents. This multi-modal, multi-scale approach provides the simultaneous breadth of coverage and spatio-temporal resolution required to determine neural computations at the speed-of-thought.
On the data science side, we develop analysis tools for (neuro)-science, including statistical-machine learning algorithms, dynamic hierarchical models, and data standards/formats. These interpretable and predictive tools provide enhanced insight into the generative processes that produce data.
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Benchmarking
Exascale Computing
Modeling and Simulation
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