Rutgers Geometric Analysis Conference 2022
Monday May 16 through Friday, May 20, 2022
Rutgers, The State University of New Jersey
New Brunswick
The themes of our conference will include geometric flows, minimal surfaces, gauge theory, and symplectic geometry. One day is reserved for mini-course lectures and the remaining days are devoted to research lectures by leading experts in geometric analysis that introduce Ph.D. students and postdoctoral researchers to concepts in geometric analysis.
Registration is free but is required of all participants. The conference will be a hybrid meeting on the College Avenue campus of Rutgers New Brunswick, with facilities for in person and/or online participation.
Invited Speakers for the Geometric Analysis Workshop include:
Jacob Bernstein (Johns Hopkins University)
Joana Cirici (Universitat de Barcelona)
Tobias Colding (MIT)
Helmut Hofer (Institute for Advanced Study, Princeton)
Yi Lai (Stanford University)
Claude LeBrun (Stony Brook University)
Chao Li (New York University)
Rafe Mazzeo (Stanford University)
Dusa McDuff (Barnard College and Columbia University)
Maggie Miller (Stanford University)
Tom Mrowka (MIT)
Emmy Murphy (Princeton University)
Keaton Naff (MIT)
Robin Neumayer (Carnegie Mellon University)
Duong Phong (Columbia University)
Melanie Rupflin (University of Oxford)
Daniel Stern (University of Chicago)
Gabor Szekhedilyi (University of Notre Dame)
Peter Topping (University of Warwick)
Tatiano Toro (University of Washington, Seattle)
Scott Wilson (City University of New York, Graduate Center)
To register (required), apply for funding (very limited, if any, funds are available for in person participants), or view further details of the program, please visit the conference website:
https://www.sas.rutgers.edu/cms/finmath/geometric-analysis-conf-2022
This event is supported by Rutgers University and the National Science Foundation.
Organizing Committee:
Paul Feehan, Rutgers University
Dan Ketover, Rutgers University
Chi Li, Rutgers University
Natasa Sesum, Rutgers University
Chris Woodward, Rutgers University
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