Samuel E. Champer

This study models gene drive strategies for controlling fire ants, finding that suppression drives can effectively eliminate polygyne colonies but require specialized approaches to target monogyne populations.

This paper provides a guide to implementing individual-based simulations in continuous landscapes, focusing on population dynamics and ecological applications.

This paper introduces a resource-explicit modeling method for spatial population models that improves computational efficiency while maintaining accuracy.

This paper presents a framework to identify fertility gene targets for mammalian pest control by evaluating gene function, expression, and knockout results, identifying 16 male and 12 female fertility genes conserved across invasive species.

The paper simulates two Anopheles homing gene drives and finds the combined drive with X-shredder is less effective than drives using the nos promoter.

This study simulates CRISPR-based underdominance gene drives using toxin-antidote principles to assess their performance and confinability in population modification and suppression.

The paper evaluates CRISPR-based toxin-antidote gene drive systems to assess their resistance resistance and regional confinement capabilities for population modification and suppression.

This study examines underdominance gene drive systems in continuous space, finding that they may fail to persist and can spread to neighboring populations despite local confinement.

The paper models CRISPR homing gene drives with multiple gRNAs, finding optimal gRNA numbers and showing their limited standalone effectiveness but value when combined with other strategies.