Momar Dieng is a Mathematician, Economic & Education Policy Advisor and Elections Specialist. Momar's primary interest is in developing multidisciplinary approaches to identify and address development challenges in sub-Saharan Africa. From 2013 to 2018 he served as Senior Technical and Policy Advisor to the Minister in Senegal’s Ministry of Education where he spearheaded the implementation of the education reform agenda. He is particularly enthusiastic about strengthening the teaching of science and technology, and about leveraging ICTs to improve all facets of the education system, from delivery to governance. Prior to returning home to Senegal, Momar was Senior Policy Advisor for UNDP Liberia. In that capacity he provided technical support to the Government of Liberia’s postwar reconstruction effort, and contributed to crafting the country’s long-term economic strategy and vision, “Liberia RISING 2030”.

Momar holds a PhD in Mathematics from the University of California at Davis and studied development economics and public administration at Harvard’s Kennedy School of Government, and as well as international education policy at Harvard’s Graduate School of Education. He has been a visiting Faculty in the Department of Mathematics at the University of Arizona, and regularly lectures on quantitative tools for economics and public policy at Harvard University.
He has written on development economics, random matrices, integrable systems, string theory and election fraud detection. His latest publication is an essay on the future of standardized testing in the volume “Hard Questions on Global Educational Change - Policies, practices and the Future of Education” edited by Pasi Sahlberg and colleagues at Harvard University.

Momar regularly consults on impact evaluation, educational reform, EdTech and election-related matters (namely polling, campaign strategy, and the use of technology and quantitative methods to deter and detect electoral fraud). He delivered the 2016 Bartlett Memorial Lecture in mathematics at the University of Arizona on the topic of election forensics.