Research
My research investigates how the complex Genotype-to-Phenotype map interacts with natural selection to shape evolutionary outcomes, from genome structure and genetic architecture to organismal diversity.
Biological Scale: From Molecules to Populations
Molecular
Organismal Phenotype
Population
Microevolution ↔ Macroevolution
Can the same principles that govern allele frequency change within populations explain the grand patterns of diversity, innovation, and disparity we observe across deep evolutionary time? My work seeks to connect population-genetic processes with macroevolutionary outcomes.
Microevolution
Within-population processes — selection, drift, mutation, recombination — that drive short-term evolutionary change.
Macroevolution
Large-scale patterns of phenotypic diversity, evolutionary novelty, and clade-level dynamics across deep time.
Statistical ↔ Mechanistic
Statistical and quantitative genetics provides powerful predictive frameworks, while systems biology and evo-devo reveal the mechanistic architecture that generates and constrains variation. My research integrates both paradigms to build a more complete understanding.
Statistical / Quantitative Genetics
Systems Biology / Evo-Devo
Empirical ↔ Theoretical