Jenniffer Roa Lozano
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Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Jenniffer Roa Lozano's research centers on computational methods for studying biological evolution, with a particular focus on phylogenetic regression and models of continuous trait evolution. Her work investigates the complexities of phylogenetic regression, addressing challenges such as the "tale of too many trees." She has developed computational tools like TraitTrainR to accelerate large-scale simulations under these models. Lozano also explores genomic case studies, such as examining the structural diversity of olfactory receptors in longhorn beetles. Her publications address issues in nucleotide model selection and model discrimination for trait evolution. Lozano has a h-index of 3 and has published 10 papers with 22 citations. She collaborates with several researchers at the University of Arkansas at Fayetteville, including Richard H. Adams, Mataya Duncan, and Jack E. Green.
Metrics
- h-index: 2
- Publications: 8
- Citations: 16
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
- Learning the Structural Diversity of Olfactory Receptors: A Genomic Case Study in Two Longhorn Beetles (Cerambycidae: Lamiinae)
- 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
- 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
- Learning the Structural Diversity of Olfactory Receptors: A Genomic Case Study in Two Longhorn Beetles (Cerambycidae: Lamiinae)
- Discriminating models of 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
- Concatenation, Conflict, and Complexity: Genealogical Heterogeneity Mimics Substitutional Heterogeneity for Nucleotide Model Selection
- Learning the Structural Diversity of Olfactory Receptors: A Genomic Case Study in Two Longhorn Beetles (Cerambycidae: Lamiinae)
- 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
- Concatenation, Conflict, and Complexity: Genealogical Heterogeneity Mimics Substitutional Heterogeneity for Nucleotide Model Selection
- Concatenation, Conflict, and Complexity: Genealogical Heterogeneity Mimics Substitutional Heterogeneity for Nucleotide Model Selection
- Concatenation, Conflict, and Complexity: Genealogical Heterogeneity Mimics Substitutional Heterogeneity for Nucleotide Model Selection
- Learning the Structural Diversity of Olfactory Receptors: A Genomic Case Study in Two Longhorn Beetles (Cerambycidae: Lamiinae)
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