This (hybrid) seminar, based in the University of Washington Department of Mathematics, brings a diverse range of speakers with the goal of being:
A venue to showcase research being done at the intersection of mathematics and data science with a focus on methods from algebra, geometry, topology, and combinatorics.
A modality with which to make mathematicians aware of specific problems in data science to which they might contribute.
A tool to facilitate collaborations between mathematicians (particularly graduate students) and researchers from other domains.
Please visit our site for further information including instructions for how to join us.
TAG in Machine Learning July 19-23, 2022 Baltimore, MD (in-person with virtual elements)
Conference on TDA and Persistence Theory August 8-12, 2022 Valdosta State University, GA