Sean L. Wu

This paper develops behavioral state microsimulation models to study mosquito dispersal, showing that population structure arises from resource availability and behavioral states.

The paper uses genomic data and simulation modeling to show that Aedes aegypti populations in southern Australia can be eliminated with Wolbachia-infected male releases if rainwater tanks are removed first.

MGDrivE 2 simulates gene drive systems with seasonal and epidemiological dynamics to predict their impact on disease transmission.

MGDrivE simulates gene drive spread in mosquito populations, showing how different architectures affect population replacement and suppression.

This paper describes a CRISPR-based method called precision guided SIT (pgSIT) that produces 100% sterile male insects, enhancing the scalability and effectiveness of insect population control.

This study uses an agent-based model to compare three mosquito-control strategies in spatially heterogeneous settings, finding that spatial heterogeneity significantly affects disease transmission and intervention effectiveness.