Research Training Group in Data Driven Discovery

RTG Research Experience for Undergraduates

Diffusion MRI / Ali Bilgin
Machine learning of turbulent fluid flows / Michael Woodward
Optimal navigation and planning / Christian Parkinson
Geometry of adversarial examples for neural networks / Dave Glickenstein
The University of Arizona's Research Training Group (RTG) in Data Driven Discovery supports integrated research and training in data driven modeling techniques and applications, including computational neuroscience, fluid turbulence, medical imaging, and more. Our Research Experience for Undergraduates (REU) program provides opportunities to learn and apply foundational mathematical and computing skills.

As a member of the RTG-REU, you will

  1. work with RTG faculty, postdocs, and graduate students on data driven modeling and applications;
  2. learn mathematical ideas fundamental for data science;
  3. learn to use basic tools for data-intensive scientific computing;
  4. learn to communicate science effectively;
  5. learn about applying to graduate schools.

Qualifications: we expect all REU students to have completed a standard calculus sequence (including vector calculus) and have had some exposure to linear algebra and differential equations at the time they start the REU; some of our projects may benefit from additional background knowledge. Experience with some form of programming, e.g., Matlab or Python, is helpful but not required. (If you're interested but unsure whether you qualify, just ask!)

For Summer 22:
  • The Summer 2022 RTG-REU program will start in early to mid June, and end in early August. (We are well aware that some of you may have exams in early June, and will be happy to work around your schedule as needed.)
  • Fulltime, 40 hour per week commitment required.
  • Modality: we have not yet decided on whether the program will be in person or online for Summer 2022, but will decide very soon.
  • Eligible participants will receive a stipend for the summer.
Potential projects include Depending on interest and availability, we can also arrange projects with other RTG faculty, postdocs, and graduate students. Let us know your areas of interest and/or whom you'd like to work with in your application, and we'll do our best to match you with a suitable advisor and project!
Contact: Prof. Kevin Lin
617 N Santa Rita Ave
Tucson, AZ 85712

Application. The application for our Summer 2022 RTG-REU will open soon. If you are interested and would like to be notified, just write an email to Prof. Kevin Lin.

Diversity commitment: we encourage applications from traditionally under-represented groups. The University of Arizona is a Hispanic Serving Institution and an American Indian and Alaska Native-Serving Institution.

This page was last updated on January 19, 2022.