LAIS ARAUJO COELHO

• Taught undergraduate courses in evolution and ecology, environment in the anthropocene, translating complex biological concepts into clear, accessible explanations for diverse student audiences.
• Developed and communicated scientific material tailored for audiences with varying levels of quantitative and biological expertise, enhancing understanding and engagement.

• Conducted whole-genome and SNP-based demographic reconstruction of an endangered pine, integrating large-scale genomic data with population-genetic models.
• Performed RNA-seq analyses of white-footed mice under different Lyme disease exposure conditions, applying computational approaches to high-dimensional biological data.
• Analyzed amplicon-sequencing datasets from duodenal aspirates to characterize gut microbiome data.
• Applied reproducible computational analysis, data filtering, and statistical interpretation across distinct biological datasets and research questions.

• Developed scientific storylines focused on Amazonian plants and animals for an immersive museum exhibition.
• Simplified research findings in ecology, botany, behavioral biology, and evolutionary biology for artists and video producers, facilitating effective communication of complex concepts to non-specialist audiences.

• Automated Unix and R scripts to efficiently harvest, process, and analyze genetic variants from large genomic datasets, generating standardized inputs for downstream analyses.

• Used Python-based Bioconda packages to filter structural and single-nucleotide variants in approximately 200 GB of whole-genome data from Amazonian birds.

• Applied Approximate Bayesian Computation (ABC) and population-genetic modeling to analyze genomic data, evaluating competing hypotheses about population history and demographic change.