MSRI-UP
Parent Program: | -- |
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Location: | SLMath: Baker Board Room, Atrium |
Show List of Speakers
- Quincy Alston (University of Pennsylvania)
- Elise Alvarez-Salazar (University of California, Santa Barbara)
- Jillian Cervantes (University of Wisconsin-Milwaukee)
- Mathieu Chabaud (University of Washington)
- Michael Eddy (Swarthmore College)
- Daniel Gonzalez (University of Arizona)
- Tania Gonzalez (Sam Houston State University)
- Sean Hadley (San Francisco State University )
- Kimberly Herrera (University of California, Berkeley)
- Manny Lopez (University of Utah)
- Katherine Lovelace (Ohio State University)
- Alberto Magana (Vanderbilt University)
- Martin Martinez (University of Washington Bothell)
- Austin MBaye (Vassar College)
- Solís McClain (Reed College)
- Kiyanna Porter (University of Utah)
- Alpha Recio Valerio (University of Massachusetts Amherst)
- Juan Rosete (California State University of Channel Islands)
The MSRI Undergraduate Program (MSRI--UP) is an award-winning comprehensive summer program designed for undergraduate students who have completed two years of university-level mathematics courses and would like to conduct research in the mathematical sciences.
The main objective of the MSRI-UP is to identify talented students, especially those from underrepresented groups (including women and gender-expansive individuals), who are interested in mathematics and make available to them meaningful research opportunities, the necessary skills and knowledge to participate in successful collaborations, and a community of academic peers and mentors who can advise, encourage and support them through a successful graduate program.
Please help us to spread the word about this opportunity to your undergraduate contacts:
Download MSRI-UP 2023 Program Flyer (PDF)
Research Theme
The theme of the 2023 MSRI-UP is “Topological Data Analysis" and the research leader is Dr. Jose Perea, Associate Professor in the Department of Mathematics and the Khoury College of Computer Sciences at Northeastern University.
Topology is the branch of mathematics concerned with the study of abstract shapes. For most of its history it has been a purely theoretical discipline, but this has changed over the last couple of decades. Recently, topology has shown to be a powerful framework to tackle problems in data science, machine learning and engineering. The research program of the 2023 MSRI-UP on Topological Data Analysis will focus on how ideas from classic algebraic topology - like (co)homology and other descriptors - can be used in machine learning tasks such as dimensionality reduction, time series analysis and data alignment. Participants will contribute to research projects ranging from the needed mathematical foundations, to their algorithmic implementation, and subsequent application to specific scientific domains.
Students who have had a linear algebra course and a course in which they have had to write proofs are eligible to apply.
Familiarity with Python/Jupyter Notebooks, statistics or the topology of metric spaces will be helpful.
General Description
During the summer, each of the 18 student participants will:
- participate in the mathematics research program under the direction of Dr. Jose Perea of Northeastern University, a post-doc and two graduate students;
- complete a research project done in collaboration with other MSRI-UP students;
- give a presentation and write a technical report on his/her research project;
- attend a series of colloquium talks given by leading researches in their fields;
- attend workshops aimed at developing skills and techniques needed for research careers in the mathematical sciences;
- learn techniques that will maximize a student's likelihood of admissions to graduate programs as well as the likelihood of winning fellowships; and
- receive a $3600 stipend, lodging, meals and round trip travel to Berkeley, CA.
After the summer, each student will:
- have an opportunity to attend a national mathematics or science conference where students will present their research;
- be part of a network of mentors that will provide continuous advice in the long term as the student makes progress in his/her studies; and
- be contacted regarding future research opportunities.
How to Apply
Applications for MSRI-UP are hosted on the National Science Foundation's Education and Training Application site. See the "Overview" tab of this webpage for details.
Applications are now closed for MSRI-UP 2023.
For future application timelines, visit slmath.org/msri-up.
Eligibility
Due to funding restrictions, only U.S. citizens and permanent residents are eligible to apply. Deferred Action for Childhood Arrivals (DACA) students are also eligible due to generous funding by the Alfred P. Sloan Foundation. The program cannot accept foreign students regardless of funding. In addition, students who have already graduated or will have graduated with a bachelor's degree by August 31, 2023 are not eligible to apply.
MSRI-UP 2023 Directors
The directors of MSRI-UP are:
- Dr. Federico Ardila - federico@sfsu.edu
- Dr. Mercedes Franco - mfranco@qcc.cuny.edu - 2023 on-site director
- Dr. Rebecca Garcia - rgarcia@shsu.edu
- Dr. Candice Price - cprice@smith.edu
- Dr. Robin Wilson - robinwilson@cpp.edu
MSRI-UP Sponsors
Funding to support MSRI-UP is provided by the Alfred P. Sloan Foundation and the National Science Foundation (NSF).
Primary Mathematics Subject Classification No Primary AMS MSC Secondary Mathematics Subject Classification No Secondary AMS MSC
Jul 21, 2023 Friday |
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