I am currently pursuing my postdoctoral training at the ‘EpiCenter for Disease Dynamics’, in the School of Veterinary Medicine, University of California Davis. I received my Ph.D. in epidemiology from the ‘Nantes Atlantic National College of Veterinary Medicine, Food Science and Engineering’ (École nationale vétérinaire, agroalimentaire et de l’alimentation, Nantes-Atlantique), France in 2015, with specialization in infectious disease modeling.
My current post-doctoral research focuses on the associations of climatic variables related to flaviviral sylvatic hosts at global scale. We have predicted potential host species for flaviviruses in new regions where these viruses might expand as suitable conditions are generated due to climate change. I implemented an innovative machine learning approach based on the clusters of ecologically similar flaviviruses.
My research contributions to the USAID funded PREDICT project are concentrated around characterizing the human-animal interactions which can lead to high risk interfaces for pathogen spillover from wildlife to humans. I am developing a predictive algorithm for host-virus network, by utilizing the macro-ecological characters of hosts and topographical features of the network to estimate host plasticity of viruses and eventually identify viruses with high spillover risk. The overarching aims of my research in PREDICT project are to guide large scale targeted surveillance of wildlife and to identify potential reservoirs of emerging viruses. Studies such as the one’s mentioned above are focusing on environmental and climatic characteristics of species, yet a comprehensive dataset describing ecological traits of species habitats is missing. To fulfill the dearth of such data, I am curating a large dataset comprising of macro-ecological traits of avian and mammalian species.