Bio

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 landscape genomics.

Education

University of Texas at Austin | Austin, TX, USA

Ph.D. in Statistics | August 2021 - May 2025

University of Nevada, Las Vegas | Las Vegas, NV, USA

B.S. in Mathematics | August 2016 - May 2021

Recent News

New paper accepted in Annals of Applied Statistics:

• Schwob, M.R., M.B. Hooten, N.M. Calzada, T.H. Keitt. (In Press). "Spatial Hyperspheric Models for Compositional Data," Annals of Applied Statistics.

I accepted a tenure-track position in the Department of Statistics at Virginia Tech for this upcoming Fall!

My first textbook Exercises in Statistical Reasoning is available for pre-order:

New paper accepted in Biometrics:

• Schwob, M.R., M.B. Hooten, V. Narasimhan. (2024). "Composite dyadic models for spatio-temporal data," Biometrics.

New paper accepted in Spatial Statistics:

• Hooten, M.B., M.R. Schwob, D.S. Johnson, and J.S. Ivan. (2024). "Geostatistical capture-recapture models," Spatial Statistics.

Paper selected as a honorable mention in the 2024 ASA ENVR Student Paper Competition:

• Schwob, M.R., M.B. Hooten, V. Narasimhan. (2024) "Composite dyadic models for spatio-temporal data," Biometrics.

Paper selected as a winner of the 2023 ISBA EnviBayes Student Paper Competition:

• Schwob, M.R., M.B. Hooten, T. McDevitt-Gales. (2023). "Dynamic population models with temporal preferential sampling to infer phenology," Journal of Agricultural, Biological, and Environmental Statistics.

Publications

MR Schwob, MB Hooten, NM Calzada, TH Keitt. (2025+). "Spatial hyperspheric models for compositional data," in press.

MR Schwob, MB Hooten, V Narasimhan. (2024). "Composite dyadic models for spatio-temporal data," Biometrics. Pre-print.

MB Hooten, MR Schwob, DS Johnson, JS Ivan. (2024). "Geostatistical capture-recapture models," Spatial Statistics. Pre-print.

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. Paper.

MB Hooten, MR Schwob, DS Johnson, JS Ivan. (2023). "Multistage hierarchical capture-recapture models," Environmetrics, e2799. Paper.

MR Schwob, P Shiue, R Venkat. (2021). "Novel theorems and algorithms relating to the Collatz conjecture," International Journal of Mathematics and Mathematical Sciences, 2021:5754439. Paper.

R Venkat, MR Schwob. (2021). "Novel sequences of palindromic primes in various bases," International Journal of Advanced Research in Computer Science, 12:2. Paper.

M Hooten, C Wikle, MR Schwob. (2020). "Statistical implementations of agent‐based demographic models," International Statistical Review, 88:2. Paper.

MR Schwob, A Dempsey, F Zhan, J Zhan, A Mehmood. (2020). "Robust multimodal heartbeat detection using hybrid neural networks," IEEE Access, 8:82201-82214. Paper.

A Hart,..., MR Schwob,..., J Zhan. (2019). "Resolving intravoxel white matter structures in the human brain using regularized regression and clustering," Journal of Big Data, 6:1. Paper.

MR Schwob, J Zhan, A Dempsey. (2019). "Modeling cell communication with time-dependent signaling hypergraphs," IEEE/ACM Transactions on Compuational Biology and Bioinformatics, 18:3. Paper.