Davide Zilli


I am a Postdoctoral Research Assistant at the University of Oxford, in the Engineering Department. My research interests lie in the application of machine learning algorithms to the monitoring of the natural environment. More broadly I'm interested in computer science, data science and bioacoustics. My present work involves the automated detection and classification of mosquitoes that carry malaria and similar diseases.

I obtained a PhD from the Institute for Complex Systems Simulations, in Electronics and Computer Science at the University of Southampton. In 2014 I visited Microsoft Research Cambridge as a research intern, working on open hardware for bioacoustic classification, and MIT senseable city lab, where I was researching pervasive systems in the urban space.

My PhD, under the supervision of Alex Rogers and Geoff Merrett, involved using smartphones to monitor biodiversity. We developed a citizen science platform and a mobile system aimed at rediscovering a very endangered insect, called the New Forest cicada. This insect emits a very high-pitched call, difficult for most adults to hear, but easily detected by a smartphone. If you would like to know more about this project, please visit the project webpage or listen to a 3-minute summary in the video below.