Education
- Ph.D. in Statistics - University of Texas at Austin (2025)
- B.S. in Mathematics - University of Nevada, Las Vegas (2021)
Awards & Honors
- Graduate Research Fellowship, National Science Foundation (2021-2025)
- Dean’s Prestigious Fellowship, UT Austin (2021-2025)
- Bartroff Family Award for Research Excellence, UT Austin (2025)
- EnviBayes Student Paper Competition Winner, International Society for Bayesian Analysis (2023)
- Best Honors Thesis, UNLV (2021)
Hello! I'm an assistant professor in the Department of Statistics at Virginia Tech. My research focuses on developing scientifically interpretable and computationally efficient statistical methods for spatio-temporal data in ecology, environmental science, epidemiology, and public health.
MR Schwob, MB Hooten, NM Calzada, TH Keitt. (2025+). "Spatial hyperspheric models for compositional data," in review at Annals of Applied Statistics.
MR Schwob, MB Hooten, V Narasimhan. (2024). "Composite dyadic models for spatio-temporal data," Biometrics. 2024 ASA ENVR Student Paper Competition - Honorable Mention.
MB Hooten, MR Schwob, DS Johnson, JS Ivan. (2024). "Geostatistical capture-recapture models," Spatial Statistics.
MR Schwob, MB Hooten, T McDevitt-Galles. (2023). "Dynamic population models with temporal preferential sampling to infer phenology," Journal of Agricultural, Biological, and Environmental Statistics. 2023 ISBA EnviBayes Student Paper Competition - Winner.
MB Hooten, MR Schwob, DS Johnson, JS Ivan. (2023). "Multistage hierarchical capture-recapture models," Environmetrics.
MR Schwob, P Shiue, R Venkat. (2021). "Novel theorems and algorithms relating to the Collatz conjecture," International Journal of Mathematics and Mathematical Sciences.
R Venkat, MR Schwob. (2021). "Novel sequences of palindromic primes in various bases," International Journal of Advanced Research in Computer Science.
MB Hooten, C Wikle, MR Schwob. (2020). "Statistical implementations of agent-based demographic models," International Statistical Review.
MR Schwob, A Dempsey, F Zhan, J Zhan, A Mehmood. (2020). "Robust multimodal heartbeat Schwob - 1 detection using hybrid neural networks," IEEE Access.
MR Schwob, J Zhan, A Dempsey. (2019). "Modeling cell communication with time-dependent signaling hypergraphs," IEEE/ACM Transactions on Computational Biology and Bioinformatics.
A Hart, B Smith, S Smith, E Sales, J Hernandez-Camargo, Y Mayor Garcia, F Zhan, L Griswold, B Dunkelberger, MR Schwob, S Chaudhry, J Zhan, L Gewali, P Oh. (2019). "Resolving intravoxel white matter structures in the human brain using regularized regression and clustering," Journal of Big Data.