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Our seminar focuses on efficient computational methods for numerical
problems, mostly phrased in a mathematical language, arising in areas
of science throughout the Institute and beyond. Topics include
signal processing and data analysis (neural spike sorting,
cryo-EM, imaging); computational statistics
(Bayesian, MCMC, variational, robust inference, microbiome); deep learning (equivariant networks);
PDEs (fluid flow, wave scattering), integral equations, spectral methods,
fast algorithms (i.e., close to optimal complexity);
software libraries and programming.
We discuss research topics as well as review classical topics in numerical
analysis and statistics.
As of Fall 2020, the new time is 10am-11:30am on Wednesdays, unless as announced. We (used to) meet in person at CCM in the 3rd-floor classroom (unless otherwise announced; sometimes round-table meetings are in 4th-floor conference room). Since 3/25/20 we meet on zoom. All from Flatiron are welcome, and guests from outside must arrange a visitor's pass. Other events of interest are also listed in [square brackets]. |
This page is maintained by Alex Barnett but may be edited in raw HTML from any cluster account. External potential speakers should please contact someone at CCM working in a relevant research area. Cindy Rampersad-Phillips can help CCM staff with booking and speaker logistics.
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