Dr Jamil Sayeed is an applied microeconomist whose work integrates rigorous empirical methods with real world policy evaluation. He works as an Evaluation Officer in the Evaluation Directorate at Employment and Social Development Canada, where he leads methodological design for impact evaluations and oversees impact assessments of labour market and social programs. He holds a PhD in Economics from Carleton University, Canada and an MA in Economics from York University, Canada. He completed his bachelor’s and master’s degrees in Economics from University of Dhaka. He has previously taught at Carleton University, York University, Independent University Bangladesh, and United International University Bangladesh. His research spans applied microeconomics, program evaluation, causal machine learning, labour economics, development economics, and fiscal policy. His current work focuses on applying causal machine learning to evaluate labour market programs, with a strong emphasis on producing policy relevant evidence to inform program design and effectiveness.