David Spade

David Spade is an Associate Professor in the Department of Mathematical Sciences at the University of Wisconsin-Milwaukee, with office location in the Engineering and Mathematical Sciences building (room E459). He holds active roles as an Undergraduate Advisor and member of the Statistics Research Group.

His research centers on theoretical and computational statistics, specializing in Markov chain Monte Carlo methods, Bayesian inference, and phylogenetic analysis. Key interests include convergence diagnostics for Gibbs and Metropolis-Hastings samplers, statistical modeling of biological systems (notably Daphnia motion), and applications in genomics and cancer research. His work bridges rigorous statistical theory with interdisciplinary biological problems.

Analysis of his 2016-2025 publications reveals dominant trends in MCMC convergence theory (mixing time, geometric ergodicity, drift-minorization), phylogenetic inference, and biological modeling. His research demonstrates consistent focus on computational statistics with expanding applications in ecology, evolutionary biology, and medical research, particularly through collaborations with biologists.

No scientific awards were documented in the provided materials. As an Undergraduate Advisor, he mentors statistics students within the department's academic framework. Dr. Spade actively contributes to the Statistics Research Group, fostering collaborative projects in statistical methodology development and interdisciplinary applications.