Ryan Botts, Ph.D.
Assistant Professor of Mathematics
Links
Background
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.
Research
Dr. Botts is an applied mathematician with primary interests in numerical analysis focusing multivariate regression algorithms in high-dimensions with tensor products. Currently he is working on applications of these techniques to reverse engineering gene regulatory networks and predicting the properties of crystalline solids.
Interests
In his free time, Dr. Botts stays active. He enjoys playing volleyball, running and biking.
Publications
R. Botts, Ale Jan Homburg, and Todd R. Young, The Hopf Bifurcation with Bounded Noise. Discrete and Continuous Dynamical Systems – A, Accepted August 2011.
- Related links : H-A Bifurcation 1 H-A Bifurcation 2
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.
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