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Undergraduate Program

Virtual Summer Research Experience

SUMMER 2020: Mathematical Foundations of Data Science (online)

The Greater Data Science Cooperative Institute (GDSC) is planning a research experience for undergraduates from Cornell, the University of Rochester, and colleges/universities in the greater Rochester area. This program is meant to introduce students with a strong background and record of accomplishment in mathematics, computer science, physics, or related fields, to the mathematics behind advances in data science. Each of the 15 program participants will receive a $1600 stipend.


Phase 1: August 10 - 21, 2020

In week 1, we will work through several chapters of the book High Dimensional Probability, an Introduction with applications in Data Science, by Roman Vershynin. During week 2, we will begin small research projects, some involving computer-aided computation designed to bridge the gap between theoretical knowledge and real-life applications.

Phase 2: August 24 - September 4, 2020

During the second phase of the program, students will be organized into research groups and will begin research under the direction of participating University of Rochester and Cornell faculty. Since this phase is likely to overlap with the beginning of the academic year, scheduling will be flexible. Interested participants will have the opportunity to conduct further during a third phase of the program, which does not have a definite end date.


Rising juniors and seniors at Cornell, University of Rochester, or a college/university in the Greater Rochester area. In exceptional circumstances, rising sophomores will be considered as well. This program is funded by the National Science Foundation, so participants supported by the program must be citizens or permanent residents of the United States of America.

Application Process

Please send an email to with the following information:

  1. Your name.
  2. The name of the college/university you are currently attending.
  3. Your expected date of graduation.
  4. Your full academic transcript.
  5. A short statement describing your scientific interests and reasons for participating in the program.