I develop mathematical models and computer simulations to investigate how algorithms may be implemented by neurons in brains. I focus on the brains of insects, and, in particular, the pesky fruit fly (Drosophila melanogaster), which is studied by many scientists out there because of the huge arsenal of genetic tools available for fruit flies. With these tools, experimenters are able to precisely identify and control single neurons, and consequently modify the fly's behaviour. I use the data obtained by the experimenters to help constrain my models, and I use my models to make predictions about the fly brain for experimenters to test. Details about the research projects I have worked on, and am currently working on, are provided below.
I currently work with Prof. Thomas Nowotny as a postdoctoral fellow at the University of Sussex, and am a member of the EPSRC funded Brains-on-Board project. In this project, I am investigating how insects learn to evaluate options and make decisions when navigating and foraging.
Learning accurate reward predictions with reward prediction errors in the fruit fly brain
Learning and forgetting from the perspective of control
Balance in the fruit fly brain for perception and learning