Research interests

Biostatistics, Multivariate statistics, Dependence models, Big data, Time series, Spatio-temporal modelling, Evidence-Synthesis methods.

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Professor Nasri is a faculty member of Biostatistics in the Department of Social and Preventive Medicine. Prof. Nasri is an FRQS Junior 1 Scholar in Artificial Intelligence in Health and Digital Health. She holds an NSERC Discovery Grant in Statistics for time series dependence modelling for complex data. Prof. Nasri and her team are working mainly on the development of statistical learning methods, artificial intelligence methods and mathematical models for infectious diseases and public health threats related to climate change. Prof Nasri completed a Ph.D. under the supervision of  Taoufik Bouezmarni, Taha Ouarda, and André St-Hilaire, an MSc under the supervision of Salah El-Adlouni and Taha Ouarda at INRS-ETE on developing Statistical approaches for  extremes related to Climate Changes and an Ingénieur d'État degree (eq. MSc) in Statistics at INSEA. She also completed a postdoctoral fellowship in theoretical statistics at McGill and HEC Montréal funded by the FRQNT, CANSSI and GERAD. She authored and co-authored several papers on time series, spatial dependence, multivariate statistics, compartmental modelling, text mining, and evidence synthesis.