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Zia Farooq is a postdoctoral fellow in the Department of Epidemiology and Global Health at Umeå University. He earned his master's degree in applied mathematics from the Institute of Space Technology in Islamabad, Pakistan, where his thesis focused on bifurcation analysis of nonlinear dynamical systems. Zia has conducted research in cell signaling using dynamic modeling and information-theoretic techniques at the Systems Biology Informatics Lab at the Institute of Fundamental Technological Research in Warsaw, Poland. Since 2020, he has been part of Henrik Sjödin's lab, engaging in predictive modeling of infectious disease outbreaks, including COVID-19, West Nile virus, and Dengue. Zia employs advanced machine learning algorithms and explainable AI, alongside conventional process-based models, to develop new data-driven methods for assessing outbreak severity and identifying the impact of climate change on human mobility and the global spread of diseases like Dengue. He is also a valued member of the Lancet Countdown Europe team, helping to develop risk indicators for emerging infectious diseases.
Henrik Sjödin Lab • Umeå, Sweden
Conducting research on predictive modeling of infectious diseases using advanced machine learning techniques.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.