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
Selected as a Savage Award Finalist for my dissertation Bayesian Hierarchical Models for Dependent Ecological Data
Awarded 2025-2026 Invasive Species Collaborative Faculty Seed Funding Grant (as a Co-PI with Prof. Esra Buyuktahtakin Toy): department article
New paper accepted in Annals of Applied Statistics:
- Schwob, M.R., M.B. Hooten, N.M. Calzada, T.H. Keitt. (2025). "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.
Publications
MR Schwob, NM Calzada, JJ Van Ee, D Gamba, RA Nelson, ML Vahsen, PB Adler, JR Lasky, MB Hooten. (2025+). "Dyadic Flow Models for Nonstationary Gene Flow in Landscape Genomics," in review. Pre-print.
MR Schwob, MB Hooten, NM Calzada, TH Keitt. (2025). "Spatial hyperspheric models for compositional data," Annals of Applied Statistics. Pre-print.
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.