Mastering Quantitative Approaches

Tutorials at NIMBioS provide both students and professionals in-depth, cross-disciplinary instruction in quantitative topics. Whether you are in academia, government or industry, our Tutorials help you learn the latest mathematical and computational approaches to solving complex or data intensive research problems. Tutorials run for 2 to 5 days with nationally and internationally recognized professors and researchers as instructors. Tutorials can be held on-site at NIMBioS or with virtual participants held live online at NIMBioS.

Many research focused proposals benefit by adding a Tutorial among their Broader Impacts efforts and partnering with NIMBioS allows a research team to rely on a well-oiled machine to offer such programs and achieve their goals without having to reinvent the wheel themselves.

If you are interested in getting such a group together, please reach out to us and we will help identify opportunities to target for funding and help you get a proposal together to apply for those opportunities to bring your vision to life at NIMBioS!

“I personally gained several important connections. I could not immediately follow up with too many people on all possible collaborations as there were more opportunities than I had time to commit to”
-Jan Rychtar

“NIMBioS is a very friendly and welcoming place for interdisciplinary work and has a connection to a university environment, which ensures a solid educational focus and outreach opportunities, along with the NSF involvement
-Jeremy Van Cleve

Game Theoretical Modeling of Evolution in Structured Populations Tutorial, 2016


Our mission is to foster the growth of transdisciplinary approaches within mathematics and biology



1122 Volunteer Blvd, Claxton 114
University of Tennessee
Knoxville, TN 37996-3410

Nina Fefferman, Director


From 2008 until early 2021, NIMBioS was supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from the University of Tennessee, Knoxville.  Any options, 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.
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