Associate Professor of Mathematics

  • Rohr Science 228
  • Phone: (619) 849-2968


Dr. Botts earned his PhD in Mathematics (Applied Track) from Ohio University. Prior to doctoral work, he earned an MS in Pure Mathematics from Cal Poly San Luis Obispo and a BS in Mathematics from the same institution. He is a recipient of the Ohio University Graduate Assistant Outstanding Teaching Award, and has served as chair of the Graduate Student Senate Grant Committee. Dr. Botts has worked as a high school math teacher and with the California State Early Assessment Project, which promotes student success on college math entrance exams.


I currently work in two areas: bioinformatics and applied mathematics. As a bioinformatician I am interested in using the genomic sequences of antibiotic resistant bacteria and the plasmids they harbor to better understand the distribution and sources of clinically relevant samples found in contaminated urban wetlands. As an applied mathematician my primary interests are in numerical analysis, more specifically in multivariate regression algorithms in high-dimensions with tensor products. Currently I am working on applications of these techniques to reverse engineering gene regulatory networks and predicting the properties of crystalline solids. Additionally, I am interested in education research in the training of interdisciplinary scientists.


In his free time, Dr. Botts stays active. He enjoys playing volleyball, running and biking.


 R. Botts, Ale Jan Homburg, and Todd R. Young, The Hopf Bifurcation with Bounded Noise. Discrete and Continuous Dynamical Systems – A, Accepted August 2011.

M d’Avezac, R. Botts, M. J. Mohlenkamp, and A. Zunger, Learning to Predict Physical Properties using Sums of Separable Functions. SIAM Journal on Scientific Computing. Accepted September 2011.

R. Botts, The Learning and Analysis of Regulatory Networks Using Sums of Separable Functions. Ohio University Libraries, 2010.