LabCompass

Matthew Wascher

Mathematics · The Ohio State University

Early career · publishing since 2018

Publications

22

Citations

114

Est. group size

~4

Recurring co-author estimate

Active years

7

Publishing since 2018

Research summary
AI-generated

Matthew Wascher works at the intersection of probability theory and statistics, with applications to infectious disease dynamics and evolutionary biology. His work includes developing methods to estimate how diseases spread within populations using repeated testing data, studying mathematical models of infection persistence on networks, and analyzing statistical methods for reconstructing evolutionary (species) trees from genetic data. He has also contributed to interdisciplinary collaborations involving animal physiology and biomechanics.

Disease transmission modeling and epidemiological statisticsProbability theory (interacting particle systems, contact processes)Phylogenetics and species tree inferenceStatistical methods for testing and prevalence estimationInterdisciplinary biological applications

Publication output has grown over the past decade, rising from occasional papers in 2018-2019 to a peak of 8 in 2022, followed by a slight decline through 2024, averaging just under 3 papers per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
172018: 2 publications182019: 1 publication192020: 4 publications202021: 1 publication212022: 8 publications8222023: 4 publications232024: 2 publications242526
Recent publications
Publishes in
  • arXiv (Cornell University)×4
  • medRxiv×2
  • bioRxiv (Cold Spring Harbor Laboratory)×2
  • Systematic Biology×1
  • Journal of Theoretical Biology×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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