About
I am broadly interested in understanding concurrent eco-evolutionary dynamics using theoretical methods, including mathematical models and stochastic simulations. My approach is motivated by the inherent complexity of biological systems along different scales of organisation, interaction, space and time. While accounting for this complexity is important, I also appreciate the role simplifications play in developing theory which may allow us to test our intuitions about biological systems. I elaborate this further here and publications from my various projects are found here. I am currently a postdoctoral researcher at University of California, San Diego (UCSD), U.S.A. in the lab of Dr.Sergey Kryazhimskiy. I work on modelling the mechanistic basis for how simple regularities can emerge from the structure of biological networks.
My previous research focused on building proof-of-concept models (Servedio et al, 2014, PLoS Biology) of how macro-scale ecological context, such as spatial network structure impacts evolutionary dynamics and how assumptions on microscopic processes such as genetic architecture of traits impact macro-ecological patterns.