Dr. Yair Daon

מרצה בכיר Senior Lecturer
Research field
Computational Epidemiology
Research Center
Bar-Ilan University Azrieli Faculty of Medicine, Safed

    I received my PhD in Mathematics from the Courant Institute of Mathematical Sciences at New York University. I then spent six months on a fellowship in George Sugihara’s lab at the Scripps Institution of Oceanography, University of California, San Diego. After returning to Israel, I worked in industry for two years before taking a postdoctoral position to study infectious disease dynamics under the supervision of Amit Huppert and Uri Obolski at Tel Aviv University. In 2023, I joined the Azrieli Faculty of Medicine in Safed as a Senior Lecturer.


    What drives pathogen spread? Why does an outbreak occur now and not later? Which outbreaks are predictable and which are not? How can the spread of misinformation affect the spread of a pathogen? In what sense does the reverse hold? How can we simultaneously increase testing throughput and accuracy? Why do some environmental factors seem to drive the spread of a pathogen in one region, yet have no effect in another?

    The epidemiology of infectious diseases offers a vast array of deep, fascinating and impactful questions. My research group is dedicated to utilizing computational approaches to tackling such questions.


    Statistics for medical students


    Daon, Thompson, Obolski. Estimating COVID-19 outbreak risk through air travel. Journal of Travel Medicine, 27 (2020) no. 5, taaa093.

    Lourenço, Daon, Gori, Obolski. Pneumococcal competition modulates antibiotic resistance in the pre-vaccination era: a modelling study. Vaccines, 9 (2021) no. 3, 265.

    Daon, Huppert, Obolski. DOPE: D-Optimal Pooling Experimental design with application for SARS-CoV-2 screening. Journal of the American Medical Informatics Association, 28 (2021) no. 12, 2562-2570.

    Daon, Parag, Huppert, Obolski. Refuting Causal Relations in Epidemiological Time Series. Submitted.

    Last Updated Date : 19/03/2024