The UConn Summer School in Minimal Surfaces, Flows, and Relativity is a focused one-week program for graduate students and recent PhDs in geometric analysis, from 16th to 20th, July 2018.

Mini-courses will be given by

  • Otis Chodosh (Princeton University)
  • Ailana Fraser (University of British Columbia)
  • Yng-Ing Lee (National Taiwan University)
  • Richard Schoen (UC Irvine)
  • Lu Wang (University of Wisconsin)


A number of fundamental results in geometry and topology have been established through the development of minimal surface theory and geometric flow techniques. The study of the geometry of solutions to the Einstein constraint equations in general relativity (including results such as the Positive Mass Theorem) has been a fruitful area for the interplay between mathematical physics, geometric partial differential equations, minimal surfaces and geometric flows.

Graduate students will gain a deeper understanding of an array of topics in minimal surface theory, geometric flows, and mathematical general relativity. Mini-courses in these areas will be taught by established and emerging leaders in the field.  The size of the school will allow ample opportunity for students to interact with the lecturers. In addition to lectures, students will participate in small group discussion sections to analyze in detail one or more papers in the field.


The summer school is aimed at graduate students and recent PhDs working in the field of geometric analysis. In addition to standard introductory coursework, graduate students interested in this program would have ideally studied differential geometry and partial differential equations, and including some depth of experience in at least one of the topic areas of the school. We particularly encourage female students and students from under-represented minority groups to apply.


Participants must apply at MathPrograms.Org in order to attend the summer school. There is limited travel funding and lodging available for graduate students and recent PhDs. For more information, visit the Application and Funding page.

If you have questions, please contact the organizers at


The program is primarily supported by the National Science Foundation through the award DMS 1452477


Logistics support provided by UConn Math Department and College of Library Arts and Sciences