Michael J. Landis, PhD

Assistant Professor

Evolution, Ecology and Population Biology Program
Computational and Systems Biology Program
Molecular Genetics and Genomics Program

Research Abstract:

The Landis Lab investigates how evolutionary patterns emerge from evolutionary processes. To this end, we develop probabilistic event-based models of evolution, design computational software to analyze those models, and test evolutionary hypotheses by fitting those models to biological and simulated datasets. Our group is particularly interested in the inference of phylogenetic relationships among species, estimating major ecological and geographical transitions of ancestral species, reconstructing the geographical spread of viral outbreaks, and developing new statistical inference methods.

Selected Publications:

MJ Landis, I Quintero, MM Muñoz, F Zapata, MJ Donoghue. 2022. Phylogenetic inference of where species spread or split across barriers. Proceedings of the National Academy of Sciences 119: e2116948119.

MP Braga, N Janz, S Nylin, F Ronquist, MJ Landis. 2021. Phylogenetic reconstruction of ancestral ecological networks through time for pierid butterflies and their host plants. Ecology Letters 24: 2134-2145.

MJ Landis, EJ Edwards, MJ Donoghue. 2021. Modeling phylogenetic biome shifts on a planet with a past. Systematic Biology 70: 86-107.

I Quintero, MJ Landis 2020. Interdependent phenotypic and biogeographic evolution driven by biotic interactions. Systematic Biology 69: 739-755.

MJ Landis, WA Freyman, BG Baldwin. 2018. Retracing the silversword radiation despite phylogenetic, biogeographic, and paleogeographic uncertainty. Evolution, 72: 2343-2359.

MJ Landis, JG Schraiber. 2017. Pulsed evolution shaped modern vertebrate body sizes. Proceedings of the National Academy of Sciences, 114: 13224-13229.

MJ Landis. 2017. Biogeographic dating of speciation times using paleogeographically informed processes. Systematic Biology, 66: 128-144.

Last Updated: 11/7/2022 1:14:51 PM

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