REU - Research Experiences for Undergraduates

Mathematical, Statistical and Computational Methods for Problems in the Life Sciences

June 7–July 30, 2021 - Virtual Program

Department of Mathematics and Statistics

Texas Tech University

For information about the 2023 edition of the REU, please visit our current website.


Research Projects

Project 1: Numerical Analysis and Simulation for Nernst-Planck Model
Faculty Mentor: Chunmei Wang

Project 2: Environmental Heterogeneity in Zoonotic Infectious Diseases
Faculty Mentor: Linda J S Allen

Project 3: Einstein paradigm of the non-linear Brownian motion, Theory and application
Faculty Mentor: Akif Ibragimov


Tutorials on remote access to TTU computers
Instructions for Mac users
Instructions for Windows users





How to apply


Stipend and Commitment

Student Application Requirements
The student application packet consists of completion of an online form and submission of
  1. college transcripts
    Unofficial transcripts are acceptable. A legible scan of an official transcript is preferred. Your name and the institution's name must be clearly displayed on the transcript. Official transcripts may be required upon admission to the program.
  2. resume
  3. a cover letter including an essay of no more than two pages
    The essay should describe what you hope to gain from the REU experience and how this experience will contribute to the attainment of your future goals. In addition, provide an ordered list of the three research projects on which you prefer to work (1 indicates your preferred project). For your top two preferences, describe how these projects are appropriate to your mathematical or computational skills and interests.
  4. two reference letters
    E-mail contact information should be provided for two faculty members, knowledgeable about the student's research potential.
Applications from women and underrepresented minority students are welcomed and encouraged. Applications completed by April 15, 2021 will receive full consideration. Notification of awardees will be made by April 30, 2021 or until positions are filled.

Online Application Form


Please send an e-mail to


Disclaimer: This material is based upon work supported by the National Science Foundation under Grant No. DMS-2050133. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.