About
I’m an Assistant Professor in the Statistics Department of the Bailey College of Science and Mathematics at Cal Poly SLO, where I do applied statistics and teach undergraduate and master’s level courses. My areas of expertise include methodology for high-dimensional data, statistical algorithms, model selection, and time series analysis, and I currently work on biological and ecological applications.
Vita
California Polytechnic State University, San Luis Obispo
Assistant Professor | 2023-present
University of California, Santa Barbara
Visiting Assistant Professor | 2020-2023
Oregon State University
Ph.D. Statistics | 2020
M.S. Statistics | 2017
Portland State University
Graduate Certificate in Applied Statistics | 2015
Reed College
B.A. Philosophy | 2011
Projects
AY25-26. Working titles.
Using depth-stratified association networks to understand the spatial ecology of harmful algal blooms in coastal waters. Collaborators: Alexis Pasulka (biology). Students: Barbara Ibrahim (statistics), Lucy Nelson (biology), Emi Degembe (statistics).
Toward more accurate allometric equations: integrating arborist records and remote sensing to improve urban tree growth and benefit estimates. Collaborators: Camille Pawlak (geography), Reed Kenny (ecology), Jenn Yost (biology), Julia Schedler (statistics), and others. Students: Kaviya Veerasingam (statistics), Nico Julia (geography).
Dynamic coupling of pH and oxygen in Morro Bay. Collaborators: Emily Bockmon (chemical oceanography), Julia Schedler (statistics). Students: Jose Garcia (statistics), Alea Seifert (statistics).
Geographic and environmental drivers of differential thermoregulation and metabolism among rattlesnake populations across North America. Collaborators: Emily Taylor (biology), Haley Moniz (biology), and others. Students: Nicole Yee (statistics), Allen Choi (statistics), Emma Reardon (environmental protection and management).
Phylogeny vs. physiology: how a guild of desert lizards maintain water balance. Collaborators: Emily Taylor (biology), Savannah Weaver (biology), and others. Students: Ethan Barnes (biology), Alvaro Ramos (statistics).
Papers
See CV for a full publication list.
H.A. Moniz
, T.D. Ruiz , N.E. Yee , E.M. Reardon , S.M. Boback, E.N. Taylor. Low metabolic rates and extended winters create exceptionally low energetic requirements for female rattlesnakes. Submitted to Ecological and Evolutionary Physiology.E.V. Satterthwaite
, T.D. Ruiz , N.V. Patin, M.N. Alksne, L. Thomas, J. Dinasquet, R.H. Lampe, N.A. Patrick , K.G. Chan , A.E. Allen, S. Baumann-Pickering, B.X. Semmens. Microbial and small plankton environmental DNA predicts density of blue, fin, and humpback whales in the southern California bight. Submitted to PLOS One. [preprint] [data] [code]T. D. Ruiz, S. Bhattacharyya, S. C. Emerson (2025). Sparse estimation of parameter support sets for generalized vector autoregressions by resampling and model aggregation. Journal of Statistical Computation and Simulation. [paper] [preprint] [code]
H. A. Moniz, J. H. Buck, H. L. Crowell, S. M. Goetz, T. D. Ruiz, S. M. Boback, E. N. Taylor (2024). High thermal quality rookeries facilitate high thermoregulatory accuracy in pregnant female rattlesnakes. Journal of Thermal Biology. [paper] [data] [code]
A. M. E. Ojwang'
, T. D. Ruiz , S. Bhattacharyya, S. Chatterjee, P. S. Ojiambo, D. H. Gent (2021). A general framework for spatio-temporal modeling of epidemics with multiple epicenters: application to an aerially dispersed plant pathogen. Frontiers in Applied Mathematics and Statistics. [paper]
Courses
See CV for a full course list.
Materials for a few recent courses are below. My areas of competence include probability, mathematical statistics, applied statistics, regression analysis, linear models, time series analysis, multivariate analysis, stochastic processes, data science.
Students
In reverse chronological order by graduation year.
Graduate
- Nicole Yee, M.S. Statistics 2027
- Emi Degembe, M.S. Statistics 2027
- Jose Garcia, M.S. Statistics 2026
- Alex Yuan, M.S. Statistics 2026
- Nathan Greenfield, M.S. Statistics 2026
- Kyle Bistrain, M.S. Statistics 2025
- Katherine Chan, M.S. Statistics 2024
Undergraduate
- Barbara Ibrahim, B.S. Statistics 2027
- Kaviya Veerasingam, B.S. Statistics 2027
- Alea Seifert, B.S. Statistics 2026
- Alvaro Ramos, B.S. Statistics 2026
- Allen Choi, B.S. Statistics 2025
- Nick Patrick, B.S. Statistics 2025