Postdoctoral fellows & Research Associates

Kamal is a veterinary epidemiologist with an interest in veterinary public health. He completed his Master’s in Veterinary Public Health from Freie Universität Berlin and Chiang Mai University Thailand in 2011 and completed his PhD in veterinary science from the University of Sydney in 2018. Kamal's principal work interest is in assessing and addressing public health threats that are intricately linked to animal interface. 


Mohamed-Hamza Ibrahim is currently a research officer at ESPUM - CReSP at the University of Montreal. He is also an adjunct professor at the University of Quebec in Outaouais (UQO). He moreover works as an assistant professor of Artificial Intelligence at Zagazig University (Egypt). In 2015, Hamza received his Ph.D. in Computer Engineering from the University of Montreal. He previously worked as a research assistant at UQO from 2020 to 2022. In 2016, he worked as a postdoctoral researcher at the University of Montreal, and at UQO in 2018. He worked as a data scientist at the Royal’s Institute of Mental Health Research. His research and teaching activities include Machine/deep learning, Data mining, Formal Concept Analysis and Social Network Analysis. In particular, the use of {probabilistic, relational, graphical} models in tandem with {learning, reasoning, mining} techniques to understand complex domains that involve big data and have large amounts of uncertainty.

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Idriss Sekkak develops an integrative framework that explores the impact of public health interventions across a broad spectrum of societal and economic issues. Idriss Sekkak received his Ph.D. degree in stochastic modeling and control strategies in epidemiology from the University of Ibn Tofail, Kénitra, Morocco. Idriss Sekkak holds a Master’s degree in Financial Engineering from the National School of Applied Sciences at Ibn Zohr University. Idriss Sekkak main research interests include dynamical systems, stochastic analysis, stochastic optimization, and their applications. 


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Claudia Ximena Robayo Gonzalez has a Master's degree in Toxicology from the National University (Colombia) and is a medical doctor from Military University (Colombia). Claudia Ximena Robayo Gonzalez worked as an academic and research coordinator on a primary care center in Colombia. She has experience in quantitative research related to tobacco and addiction with patients and health care professionals. She also has experience in qualitative research related to education at the graduate level. Claudia Ximena Robayo Gonzalez has supervised undergraduate and graduate students in health sciences during the past six years. Claudia Ximena Robayo Gonzalez is interested in infectious disease research.


Mamadou Yamar Thioub is a Ph.D. candidate in data science at HEC Montreal. Mamadou Yamar Thioub thesis focuses on regime-switching models and dependence modeling with deep learning methods. Mamadou Yamar Thioub holds a master’s degree in Financial Engineering and a Bachelor's degree in economics. Mamadou Yamar Thioub worked on the modeling of COVID-19 using social networks with the PHAC (public health agency of Canada) and since September 2021, Mamadou Yamar Thioub is a lecturer at HEC Montreal and at the University of Montreal.

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Marine Hubert is a dynamic young Belgian, passionate about travel and especially high mountain treks! Marine Hubert completed her Bachelor's and Master's degrees in biomedical sciences at the University of Liège, in Belgium, followed by a specialized Master's degree in tropical medicine and infectious diseases at the University of Antwerp. This Master's allowed her to develop skills and a great interest in zoonoses and the understanding of the dynamic transmission of these diseases. Given her passion for travel, Marine Hubert wanted to find a project abroad to pursue her professional career. Marine Hubert was thus led to start a Ph.D. in Canada, at the University of Montreal where she is working on the factors influencing the transmission dynamics of zoonoses transmitted by rodents with the aim of modeling these diseases.


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Rawda Berkat holds a Bachelor’s degree in Health Sciences from the University of Ottawa. Now being a candidate in the Epidemiology Master's program at the University of Montreal, Rawda Berkat's research interests include infectious and chronic diseases, disease prevention, risk factors, environment, global health, and quantitative methods. As her thesis project, she is in the process of conducting a spatio-temporal modeling study on dengue fever in Colombia with environmental covariates.

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Adrien Saucier is an M.Sc. student in epidemiology and holds a Master’s degree in philosophy. Adrien Saucier is particularly interested in the role of social and environmental determinants of health. His current research focuses on COVID-19 in Montreal’s school population. More precisely, Adrien Saucier examines the effect that non-representative sampling and selection bias may have on estimating the distribution of the disease in that population.


Elda Laison is a Togolese student who is pursuing a M.Sc. degree in Public Health at the University of Montreal. Elda Laison is a medical doctor who graduated from the University of Havana (Cuba). Her interest lies in the impact of climate change on human health. Elda Laison’s research project is focused on the risk factors of Lyme disease in Quebec. More precisely, she is studying the tendency of the Quebec population’s perceptions of Lyme disease and the proposed adaptive measures before and during the COVID-19 pandemic.


Fatima El-Mousawi holds a bachelor’s degree in Microbiology and immunology from the University of Montreal, and an International Baccalaureate certificate in natural sciences from the International Baccalaureate Organization.  She is currently pursuing a master’s degree in global environmental health under Prof Nasri’s supervision at the University of Montreal Public Health School.  Her work consists of exploring the mental health effects of adaptation measures to floods due to climate change through a review of the literature.  Fatima is particularly interested in global health and environmental issues.

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Srikanth Boligarla is a data engineer/integrations developer at Sherwin Williams company. Srikanth Boligarla holds a Bachelor’s degree in Computer Science and Engineering. Srikanth Boligarla will graduate with a Master's in Data Science at Harvard University - Extension School in May 2022. Srikanth Boligarla is working with Prof Nasri on Twitter data. Srikanth Boligarla loves problem-solving, reading books, and playing chess.

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Jiaxin Li is a  lecturer at Shenzhen University and she is doing a Master's degree in Data Science, Extension Studies, at Harvard University. Jiaxin Li is working on Improving the Prediction of Lyme Disease Incidence Rate Using Twitter under Prof Nasri's supervision


Raja Mahadevan has more than two decades of experience in the Advanced Data analytics space. In Raja Mahadevan's current role with Verizon, he is responsible for building ML models, to drive better customer experience. Raja Mahadevan is pursuing his Master's degree in Data Science from Harvard extension school to strengthen his ideas around Machine learning and Statistics. For his final Capstone project, he teamed up with a research team studying the possibility of using Twitter as an early surveillance tool for detecting Lyme disease. On the personal side, he lives with his family in Dallas, TX.

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Austen Ng is currently developing processes for manufacturing drugs at Intellia Therapeutics. Before that, Austen Ng was at Biogen doing similar work. Applying design-of-experiments (DoE) for process optimization throughout his career made him fascinated with classical statistics/modeling. That fascination eventually led Austen Ng towards the master's degree in data science at Harvard Extension School. For the master's research work under Prof Nasri's guidance, relevant Twitter feeds are being evaluated for their potential to predict Lyme disease incidence rates throughout the US.