Geometric Data Analysis, May 20-23, 2019, Chicago
This conference brings together experts from around the world in the combination of geometrical or topological methods with probabilistic and statistical ones for the study of data. Different ideas have been found valuable in the handling of different kinds of data, and we hope to promote discussions of what works and what fails, and when and why.
- Registration to attend the conference is open until May 13, 2019. Please note: our event is sold out. Tickets will be offered as they become available to waitlisted attendees. Don’t forget to register!
- Program
- Abstracts
- For additional details on the conference, please visit our Logistics page.
SCIENTIFIC ORGANIZING COMMITTEE
Robert Adler, Technion, Israel, Frederic Chazal, INRIA, France, Shmuel Weinberger, University of Chicago, USA
CONFIRMED SPEAKERS
Yuliy Baryshnikov, Electrical and Computer Engineering, University of Illinois
Mikhail Belkin, Computer Science, Engineering and Statistics, Ohio State University
Paul L. Bendich, Mathematics, Duke University, and Geometric Data Analytics, Inc.
Omer Bobrowski, Electrical Engineering, Technion, Institute of Technology, Israel
Jeff Brock, Mathematics, Yale University
Tamal Krishna Dey, Computer Science and Engineering, Ohio State University
Herbert Edelsbrunner, Computer Science and Mathematics, Institute of Science and Technology, Austria
Daniela Egas Santander, Topology and Neuroscience, Ecole Polytechnique Fédérale de Lausanne, Switzerland
Tingran Gao, Statistics, University of Chicago
Clément Levrard, Probabilités, Statistique et Modélisation, Université Paris Diderot, France
Mauro Maggioni, Mathematics, John Hopkins University
Facundo Mémoli, Mathematics, Computer Science and Engineering, Ohio State University
Bertrand Michel, Informatique et Mathématiques, Ecole Centrale de Nantes, France
Ezra Miller, Mathematics, Duke University
Sayan Mukherjee, Statistical Science, Duke University
Takashi Owada, Statistics, Purdue University
Gennady Samorodnitsky, Operations Research and Information Engineering, Cornell University
Benjamin Schweinhart, Mathematics, Ohio State University
Amit Singer, Applied and Computational Mathematics, Statistics and Machine Learning, Princeton University
Jonathan Taylor, Statistics, Stanford University
Katharine Turner, Mathematical Sciences, National University, Australia
Rebecca Willett, Statistics and Computer Science, University of Chicago
Local event manager: Sylvie Bendier Decety, sbendier@uchicago.edu, 773.834.8563