Alexandre Gouy, PhD
Computational Biology • Population Genetics • ML & AI
I develop statistical and machine learning methods for large-scale genomic data analysis, with applications in evolutionary biology, precision medicine, and forensic genetics.
Research Themes
Population Genetics
Demographic inference, natural selection, adaptive introgression. Development of statistical methods for analyzing genetic variation at the population scale.
Machine Learning for Genomics
Deep learning and statistical learning approaches for variant calling, phenotype prediction, and multi-omics integration.
Epistasis & Complex Traits
Higher-order genetic interactions, polygenic architecture, and their implications for disease prediction and evolutionary constraints.
AI for Science
Large language models for research assistance, automated scientific workflows, and intelligent data analysis systems.