Dr. Dhafer Malouche is a Professor of Statistics at Qatar University with over 25 years of academic experience across international institutions. After earning his Ph.D. in Statistics and Applied Mathematics from Paul Sabatier University in France, he established himself as a distinguished researcher and educator, holding positions at universities in Tunisia, Egypt, and Qatar.

His academic journey includes prestigious appointments as a Fulbright Scholar at Stanford University (2011) and the University of Michigan (2016-2017), as well as research collaborations at Yale University’s MacMillan Center for International and Area Studies (2014-2019). During these appointments, he contributed to research on democratic transitions, governance, data quality, and survey methodology.

Dr. Malouche’s research spans multiple disciplines, with significant contributions to statistical theory (graphical models, conditional independence), public health (COVID-19 tracking systems, epidemiological modeling), and applied statistics (consumer preferences, sensory analysis). His methodological expertise in Bayesian statistics, data mining, and time series analysis has supported interdisciplinary collaborations with social scientists, epidemiologists, medical researchers, and geneticists.

He has published extensively in peer-reviewed journals, with recent work focusing on health outcomes, disease modeling, and statistical applications in medical research. Beyond academia, Dr. Malouche has served as a data analyst consultant for organizations including the World Health Organization, where he measured the impact of the COVID-19 pandemic on psychiatric needs in Tunisia.

His teaching portfolio encompasses advanced statistical methods, data science applications, and specialized courses for both undergraduate and doctoral students. Dr. Malouche brings this wealth of international experience and cross-disciplinary expertise to his current position at Qatar University, where he continues to advance statistical research and education.

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