Mahadee Al Mobin, a distinguished data scientist professional and researcher whose work sits at the intersection of computational mathematics, machine learning, and public sector innovation. Currently serving as a Research Associate at the Bangladesh Institute of Governance and Management (BIGM). Mr. Mobin has established himself as a forward-thinking contributor to the application of advanced analytics in governance, public health, and development research.
Mahadee Al Mobin holds both his Bachelor’s and Master’s degrees in Mathematics from the University of Dhaka. While his formal qualifications in mathematics laid a solid foundation in analytical thinking and quantitative reasoning, Mr. Mobin’s true distinction lies in how he has applied this rigorous training to real-world challenges. His transition from theoretical mathematics to computational modeling, machine learning, and data-driven policy analysis demonstrates a rare synthesis of academic depth and applied innovation, making his educational background both robust and pragmatically oriented toward modern interdisciplinary research.
Mr. Mobin’s scholarly footprint is both prolific and impactful. To date, he has authored and co-authored 10 peer-reviewed journal papers, with an impressive 60% of his publications appearing in prestigious Q1-ranked journals such as Scientific Reports, BMC Infectious Diseases, PLOS ONE, and Quality & Quantity. His research spans from predictive epidemiology notably forecasting dengue outbreaks using novel machine learning methods to policy evaluation and economic modeling, reflecting an exceptional ability to translate complex data insights into actionable outcomes.
Beyond his individual research, he has led multidisciplinary teams in national-scale analytical projects commissioned by the Government of Bangladesh, including the data analytics team of Public Administration Reform Commission. His leadership combines technical acumen with the strategic foresight required for data-informed policymaking qualities that make him an invaluable asset in ventures intersecting data science, governance technology, and social innovation.
Alongside his publications and project leadership, Mr. Mobin has contributed to capacity building and data literacy, designing and conducting short courses on Data Analytics with R, Machine Learning with Python, and Statistical Modelling with Python. His ability to communicate complex analytical frameworks in accessible terms underscores both his technical depth and his commitment to advancing collective expertise.
Mahadee Al Mobin represents a rare blend of analytical precision, research excellence, and applied impact, a professional whose trajectory aligns naturally with ventures seeking to leverage data science for sustainable development, intelligent governance, and social progress.