Professor Tyler McCormick is an upcoming speaker in the Data Science Applied Research and Education Seminar (ARES). The title of his talk is, "Identifying the Latent Space Geometry of Network Models Through Analysis of Curvature."

Professor McCormick is an Assistant Professor of Statistics and Sociology at the University of Washington, where he is also a core faculty member in the Center for Statistics and the Social Sciences and a Senior Data Science Fellow of the eScience Institute. His research develops statistical models that leverage social network structure to understand the nuances of human behaviour. He also does methodological work in Bayesian statistics and is particularly interested in models that provide interpretable representations of data with complex dependence structure.

ARES is a new speaker series that showcases opportunities in all realms of society for Data Science.

Seminars are held three times per month September to May.

See here for more details and a complete schedule for ARES.