Development economist, specialized in econometrics and demography with more than 15 years of professional experience in the field of international development, applied research, statistics, and evaluation. Specifics areas of interest are research methods,  micro-econometric estimation, forecasting, impact evaluation of development policies, data science, and specifically, artificial intelligence, big data and machine learning. Since November 2012, she has been working at the International Fund for Agricultural Development as Senior Econometrician. Her role has been to lead, manage and provide strategic guidance for credible high quality evaluation evidence and development effectiveness research. She provides leadership in setting standards for impact evaluations of development programmes being implemented by IFAD and devised a methodology that allows the Fund to measure its corporate impacts. She initiated and operationalized the IFAD9 Impact Assessment Agenda, an ambitious research strategy aimed at measuring IFAD’s impact in the rural poverty domain. Most recently, she has been leading an Innovation project, which leverages artificial intelligence and big data for the Fund, to accelerate knowledge generation on strategic themes and data-driven decision making.