TOPOLOGY, GEOMETRY AND STATISTICS
Topological data analysis(TDA)has recently emerged as an active new field of research, which has generated great interest across mathematics, statistics, computer science, machine learning, and electrical engineering communities. TDA is being applied to image analysis, neuroscience, networks analysis, morphology, genetics, cancer research and other problems. The interdisciplinary nature of TDA naturally leads to the literature and the active researchers being scattered across different fields. This lack of a cohesive disciplinary home makes it difficult for junior researchers and in particular graduate students from statistics to obtain exposure to the field. This workshop will strive to fill this gap by focusing on tutorial and overview talks on topological data analysis and providing hands-on data analysis sessions.
Key speaker- sayan mukherjeee - duke university
The conference will feature Professor Sayan Mukherjee from Duke University as the principal lecturer who will provide an overview of how geometry and topology can be used for statistical inference. There will be some applied and data analysis aspects to the lecture where some common Topological Data Analysis codes will be used to model shape data, specifically heel bones of primates. Applied aspects of the program will include applications of the methodology developed in quantitative genetics, statistical genetics, as well as computer vision applications. The CBMS Conference will introduce graduate students and junior researchers to TDA, an active new field, which lies at the exciting intersection of topology, geometry, and statistics and serve as an opportunity to foster research collaborations.
More information can be found here on our website. |
may 31 - june 04, 2016
at&T executive education & conference center
1900 university avenue
austin, tx 78705
Additional Featured Speakers
Professor Rabi Bhattacharya University of Arizona
Professor Susan Holmes Stanford University
Professor Ann Lee Carnegie Mellon University
Professor Lek-Heng Lim University of Chicago
Professor Yusu Wang Ohio State University
Register Now! Seats Fill Fast!
Hosted by UT Professors:
Dr. Lizhen Lin- Department of Statistics and Data Sciences
Dr. Peter Mueller- Department of Statistics and Data Sciences/Mathematics
Dr. Rachel Ward- Department of Mathematics
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