Directory
Matthew Wascher
Assistant Professor
Full-Time Faculty
College of Arts and Sciences: Mathematics
Degrees
- Ph.D., Statistics, The Ohio State University, 2020
Profile
Matthew Wascher received his Ph.D. in Statistics from The Ohio State University and spent one year at The Ohio State University Mathematical Biosciences Institute before joining the Department of Mathematics at the University of Dayton in 2021. His research interests lie in applications of probability and statistics to problems in biology and public health.
Research interests
- Infectious Disease Modeling
- Interacting Particle Systems
- Phylogenetics
- Mathematical Biology
Selected publications
Wascher, M. and Kubakto, L. “On the effects of selection and mutation on species tree inference.” Molecular Phylogenetics and Evolution. 2023. 179. https://doi.org/10.1016/j.ympev.2022
Evans, E. M., Wascher, M., Goldstein, D. L., Krane, C. M. “Repeated freeze-thaw cycles in freeze tolerant treefrogs: Novel intra-individual variation of integrative biochemical, cellular, and organismal responses.” American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 2023. 324(2), R196-R206. https://doi.org/10.1152/ajpregu.00211.2022
Klaus, C., Wascher, M., KhudaBukhsh, W. R., Rempala, G. A. “Likelihood-Free Dynamical Survival Analysis Applied to the COVID-19 Epidemic in Ohio.” Mathematical Biosciences and Engineering. 2022. 20(2), 4103-4127. https://doi.org/10.3934/mbe.2023192
Chatterjee, S., Sivakoff, D., Wascher, M. “The effect of avoiding known infected neighbors on the persistence of a recurring infection process.” Electronic Journal of Probability. 2022. 27, 1-40. https://doi.org/10.1214/22-EJP836
Klaus, C., Wascher, M., KhudaBukhsh, W. R., Tien, J. H., Rempala, G. A., Kenah, E. “Assortative mixing among vaccination groups and biased estimation of reproduction numbers.” The Lancet Infectious Diseases. 2022. 22(5), 579-581. https://doi.org/10.1016/S1473-3099(22)00155-4
Wascher, M. and Kubatko, L. “Consistency of SVDQuartets and maximum likelihood for coalescent-based species tree estimation.” Systematic Biology. 2021. 70(1), 33-48. https://doi.org/10.1093/sysbio/syaa039