Numerical Algorithms

The Numerical Algorithms group develops new computational and statistical methods for the analysis of large, complex datasets and for the accurate numerical simulation of biological processes.

Our application areas include neuroscience, microscopy, systems biology and fluid flow. Our approaches range from mathematical and numerical analysis to the creation and support of efficient software. We currently focus on 1) developing and benchmarking codes for identifying neural firing events in electrophysiological recordings (spike sorting); 2) algorithms to determine the 3-D structure of proteins and protein complexes from electron microscopy data (cryo-EM); 3) statistical analysis of microbial interactions in the ocean from genetic sequencing and time-series data; 4) accurate solution of partial differential equations that model complex biological fluid flows, and 5) software libraries for fundamental tasks in data analysis and scientific computing.

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