Summary
Simon Babayan is a Reader at the University of Glasgow with 11 years of experience at the intersection of host–parasite interactions, vaccinology and immunology, applying machine learning, causal inference and Bayesian statistics to biological problems. Trained with an MSc and PhD in Animal Physiology and Parasitology from Université Pierre et Marie Curie and a BSc in Ecology and Evolution, he blends deep experimental expertise with quantitative modelling to tackle vaccine and host-pathogen dynamics. His work in One Health leverages probabilistic methods to infer causal relationships in complex biological systems, enabling more robust vaccine design and evaluation. Based in Glasgow, he brings a rare combination of field-oriented parasitology and advanced statistical rigor, often translating mechanistic insights into actionable public health and veterinary strategies.
11 years of coding experience
Bachelor of Science (B.Sc.), Ecology, Evolution, Systematics, and Population Biology, Bachelor of Science (B.Sc.), Ecology, Evolution, Systematics, and Population Biology at Université Bordeaux I
Doctor of Philosophy (Ph.D.), MSc and PhD in Animal Physiology, Parasitology, Mention très honorable & Félicitations du Jury, Doctor of Philosophy (Ph.D.), MSc and PhD in Animal Physiology, Parasitology, Mention très honorable & Félicitations du Jury at Université Pierre et Marie Curie (Paris VI)
English, French