Topological and geometric ideas have already shown promises in producing novel perspectives and powerful algorithms for analyzing complex and diverse data. As the theory and foundations of topological data analysis continue to mature, we are presented with great opportunities to consolidate existing synergy as well as to establish new connections and collaborations among computational scientists, mathematicians, and statisticians, so as to form new perspectives and develop novel methodologies / algorithms for modern data analysis. This workshop, organized by the TGDA group at OSU, presents a timely platform to help achieve these goals.
Current PhD students and young researchers within 5 years of the PhD degree are qualified to apply for partial travel / accommodation support to attend the TGDA workshop.
There is also a one week summer school program that preceeds the workshop.
Larry A. Wasserman, Statistics, CMU
Peter Bubenik, Mathematics, U. Florida
Travel and Lodging Info
- Lodging – There are several great hotel and lodging options available near the Ohio State University Campus. For a full list of options and more information go here. The MBI is located in Jennings Hall at 1735 Neil Avenue on the 3rd floor and most OSU hotels should offer shuttle transportation to get you to and from the MBI on campus for the workshop each day.
- Airport – When you arrive at John Glenn Columbus International airport-CMH you can take a taxi to your hotel (or find your hotel shuttle if offered) by going to the ground transportation area of the terminal where they offer 24-hour Airport taxi service.
- Driving to MBI & Campus Parking – If you are driving to the workshop, the closest public parking garage near the MBI is the 12th Avenue Garage. The MBI is just a short walk east from here on 12th Ave. to the Intersection of Neil Ave. where we are located in Jennings Hall on the 3rd floor. Here is a Google walking map.
We very gratefully acknowledge funding and support from our NSF TRIPODS grant, our NSF RTG grant, The Ohio State Math Research Institute MRI and the Ohio State Mathematical Biosciences Institute MBI.
Computer Science, University of California, Davis
Mathematics, TU M””unchen
none, Geometric Data Analytics, Inc.
Mathematics, University of Florida
Computer Science, City University of New York (CUNY)
Operations Research, Princeton University
Department of Applied and Computational Mathematics and Statistics,
ECE, North Carolina State University
Mathematics, Johns Hopkins University
J. S. Marron
Statistics & OR, UNC
Mathematics, Duke University
Computer Science, University of Maryland
Computational Genomics, IBM THOMAS J. WATSON RESEARCH CENTER
Mathematical Sciences, Carnegie Mellon University
Mathematics, Microbiology & Molecular Genetics, University of California, Davis
Computer Science, Tulane University