Jenniffer Roa Lozano
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Researcher
Also affiliated: University of Wisconsin–Madison (1981–1984)
Faculty Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Jenniffer Roa Lozano's research focuses on the development and application of computational methods for phylogenetic analysis, particularly in the context of evolutionary biology. Her work addresses challenges in reconstructing evolutionary histories, such as the "conundrum of too many trees" that can arise in phylogenetic regression. Roa Lozano has developed tools like TraitTrainR to facilitate large-scale simulations under models of continuous trait evolution, aiding researchers in discriminating between different evolutionary models. Her publications explore these complex modeling scenarios and the computational approaches needed to analyze them. Roa Lozano has co-authored multiple publications with collaborators at the University of Arkansas at Fayetteville, including Richard H. Adams and Mataya Duncan.
Metrics
- h-index: 3
- Publications: 10
- Citations: 22
Selected Publications
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Learning the Structural Diversity of Olfactory Receptors: A Genomic Case Study in Two Longhorn Beetles (Cerambycidae: Lamiinae) (2026)
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Concatenation, Conflict, and Complexity: Genealogical Heterogeneity Mimics Substitutional Heterogeneity for Nucleotide Model Selection (2026)
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Discriminating models of trait evolution (2026)
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Discriminating models of trait evolution (2025)
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A Tale of Too Many Trees: A Conundrum for Phylogenetic Regression (2025)
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TraitTrainR: accelerating large-scale simulation under models of continuous trait evolution (2024)
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A tale of too many trees: a conundrum for phylogenetic regression (2024)
Collaboration Network
Top Collaborators
- A Tale of Too Many Trees: A Conundrum for Phylogenetic Regression
- A tale of too many trees: a conundrum for phylogenetic regression
- TraitTrainR: accelerating large-scale simulation under models of continuous trait evolution
- Discriminating models of trait evolution
- A Tale of Too Many Trees: A Conundrum for Phylogenetic Regression
- A tale of too many trees: a conundrum for phylogenetic regression
- TraitTrainR: accelerating large-scale simulation under models of continuous trait evolution
- A Tale of Too Many Trees: A Conundrum for Phylogenetic Regression
- A tale of too many trees: a conundrum for phylogenetic regression
- TraitTrainR: accelerating large-scale simulation under models of continuous trait evolution
- A Tale of Too Many Trees: A Conundrum for Phylogenetic Regression
- A tale of too many trees: a conundrum for phylogenetic regression
- Discriminating models of trait evolution
- A Tale of Too Many Trees: A Conundrum for Phylogenetic Regression
- A tale of too many trees: a conundrum for phylogenetic regression
- Discriminating models of trait evolution
- Discriminating models of trait evolution
- TraitTrainR: accelerating large-scale simulation under models of continuous trait evolution
- TraitTrainR: accelerating large-scale simulation under models of continuous trait evolution
- Discriminating models of trait evolution
- Discriminating models of trait evolution
- Discriminating models of trait evolution
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