GM Technology

Modelling the ecological consequences of emerging genetic technologies

GM Technology explores the ecological implications of emerging genetic technologies designed to control mosquito-borne disease. Using mathematical, ecological, and data-driven modelling approaches, this research investigates how gene drives and biological control systems interact with mosquito ecology across scales.

Current projects focus on high-threshold gene drive systems intended for localised population modification, particularly in mosquitoes such as Aedes aegypti. Research examines how ecological processes such as density dependence, resource competition, and life-stage interactions shape the behaviour and effectiveness of gene drives, addressing major gaps in existing risk assessment frameworks.

Other work investigates the use of Wolbachia bacteria as a biological control agent for invasive European mosquito populations carrying diseases such as Dengue, Zika, and Chikungunya. Statistical and mathematical models are used to explore how Wolbachia affects mosquito fitness, pathogen transmission, and population dynamics.

These projects aim to improve understanding of how genetic and ecological processes interact, helping evaluate the safety, containment, and effectiveness of future vector-control technologies.

Copyright © University of Oxford Images / Ian Wallman — All rights reserved.

Keywords

Gene drives; mosquito ecology; biological control; disease vectors; ecological modelling

Selected Publications
Gene Drives and Population Dynamics  (2025)
Mosquito Mating System Evolution (2025)
CRISPR Gene Drive Inheritance (2022)

Projects

Theoretical Evolutionary Ecology

Understanding how life-history strategies evolve across ecological systems

Virus Dynamics

Exploring how viruses evolve, persist, and shape disease

Marine Sciences

Forecasting change across oceans, reefs, and marine ecosystems

Icons of Value

Examining wildlife, brands, and value in modern economies

GM Technology

Modelling the ecological consequences of emerging genetic technologies

Biodiversity

Understanding biodiversity responses to environmental and climatic change

Immunology

Exploring immune diversity across species, scales, and evolutionary time

Mental Health & Neurodynamics

Mathematical approaches to trauma, memory, and mental health