Generating, Analyzing, and Understanding Sensory and Sequencing Information

  • GAUSSI Faculty in the News, Professor Dan Sloan investigates plant genomes with two new grants!

  • Adam Heck awarded NSF Graduate Research Fellowship.

  • Mike Mangalea and Nadia Vieira Sampaio awarded 2016 Graduate Student Showcase Top Scholar prizes

  • Zach Fox awarded VPR 2017 Fellowship in Scott College of Engineering

  • 2017-2018 GAUSSI fellowships awarded! Caleb Begly, Charlotte Cialek, Shaun Cross, Bridget Eklund, Jessie Filer, Mike Mangalea,  Alex Mauro, & Daniel Jonas.

Apply to the GAUSSI Program

The GAUSSI program provides a flexible curriculum for graduate students whose research involves the analysis of large biological datasets. We offer a limited number of NSF-funded one-year fellowships. More information is available on the GAUSSI Fellowship application page.

If you do not qualify for the fellowship, which is geared mostly to students in their first two years of graduate work and requires a green card or American citizenship; you can still participate in the GAUSSI program. Benefits of the GAUSSI program include preferred access to GAUSSI courses, career planning, professional development opportunities, and mentoring and seminars in the area of large scale biological data analysis.

To become involved, please contact Kate Sherrill.