Associate Professor of Mathematics

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

Background

Dr. Botts earned his PhD in Mathematics from Ohio University. Prior to doctoral work, he earned an MS in 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.

Research

Statistical learning, bioinformatics, data and applications are all areas I am interested in. Some days I am working as a bioinformatician interested in using the genomic sequences of antibiotic resistant bacteria to better understand the sources, acquisition and distribution of clinically relevant samples found in contaminated urban wetlands. Other days I am an applied mathematician working in numerical analysis, more specifically in machine learning in high-dimensions with tensor products, trying to build learning algorithms for novel applications. Working on a wide variety of interdisciplinary problems has led me into research on how to train the next generation of interdisciplinary scientists.

More information on current research in collaboration with Dr. David Cummings can be found at microbiology.pointloma.edu

Interests

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

Publications

R. Botts, L. Carter and C. Crockett. Blended Learning in a Quantitative Literacy Course. Primus. Submitted.

T.R. Borgogna, J.-L Borgogna, J. A. Mielke, C. J. Brown, E. M. Top, R. T. Botts, D. E. Cummings. High Diversity of CTX-M Extended-Spectrum β-Lactamases in Municipal Wastewater and Urban Wetlands. Microbial Drug Resistance ahead of print. doi:10.1089/mdr.2015.0197 (2015).

L. Carter, R. Botts and C. Crockett. Computational Science Programs: the Background Research. Proceedings of FIE 2013. Frontiers in Education (2013).

R. Botts, Ale Jan Homburg, and Todd R. Young, The Hopf Bifurcation with Bounded Noise. Discrete Cont. Dynam. Systems - A. 32: 2997-3007 (2012).

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 Vol. 33(6): 3381-3401 (2011). 

R. Botts and L. Carter. Lessons Learned: A Journey in Computational Science. ACMS 18th Biennial Conference Proceedings. (2011).

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