Dr. Jamal Hossain

Biography

Jamal is a Lecturer in Applied Health Statistics at the University of Southampton, where he completed his B.Sc. (Hons) and Master's in Statistics with distinction, establishing a strong foundation in quantitative methods for health survey data analysis. He pursued his PhD in Social Statistics & Demography at the same university, funded by a prestigious Commonwealth Scholarship. His doctoral research focused on developing novel statistical estimation and inference methods for analyzing Demographic Health Survey spatial geo-masking data, aimed at preserving respondent confidentiality and data integrity. Jamal specializes in multilevel modeling and longitudinal data analysis, applying these techniques to advance medical and social science research. His proficiency in statistical machine learning methods contributes to improved data-driven decision-making in healthcare social science. Before his current position, he worked as a Post-Graduate Teaching Assistant, Research Fellow, and Lecturer/Assistant Professor of Applied Statistics at universities in the UK and abroad, teaching courses such as Quantitative Research Methods, Applied Regression Analysis, and Generalized Linear Models to undergraduate and postgraduate students from diverse backgrounds. He focuses on interdisciplinary research, exploring innovative approaches to statistical analysis that significantly contribute to the fields of Applied Health Statistics.

Research Interests

Experience