معرفی
Zia Farooq is a Research Fellow at the Department of Epidemiology and Global Health, Umeå Universitet, Sweden. His work focuses on predictive modelling of infectious diseases using machine learning and AI, with a particular emphasis on understanding the impact of climate change and human mobility on disease spread. He is a member of Henrik Sjödin Lab and Joacim Rocklöv Lab, and contributes to the Lancet Countdown Europe team addressing emerging infectious disease risks.
Farooq holds a Master’s in Applied Mathematics from the Institute of Space Technology, Islamabad, where his thesis explored bifurcation analysis of nonlinear dynamical systems. He previously worked at the Systems Biology and Informatics Lab in Warsaw, Poland, researching cell signaling via dynamic modeling and information theory.
His research spans climate-resilient health strategies, outbreak prediction algorithms, and data-driven approaches to assess pandemic severity. Recent publications highlight interdisciplinary work combining epidemiology, climate science, and AI to address global health challenges.
Farooq collaborates on projects like the Lancet Countdown reports, emphasizing actionable insights for climate-sensitive health policies. His technical expertise includes advanced statistical methods, disease mapping, and decision-support tools for public health resilience.
