About me

I am an Empirical Economist with a strong set of skills in programming. I am most proficient in STATA, Python, R and GAMS which enables me to apply my knowledge of experimental, quasi-experimental, machine learning, and macrosimulation methodologies. I have proven to be able to build my own datasets with a web scraper, to predict with high accuracy the likelihood of microcredit defaults, to expand CGEM models to contain components of MAMS models, to run quasi-experimental models and RCT research designs, and to work on large panel studies. I also have 3 years of experience at the Ministry of Finance and at the Department of Economic Development of Indigenous Affairs at the Executive Council of the Government of Quebec which makes me a well-rounded and versatile economist. I have conducted my own field research in South Korea thanks to a collaboration between my home university and the Korean Institute of Health and Social Affairs in Sejong. And I have coauthored a large RCT conducted by Harvard and MIT that became the reference on evaluating the efficacy of Nurse-Home Visiting in the United States.

Current Research

• The effects of job loss in low-income countries

Publications

• Effect of an Intensive Nurse Home Visiting Program on Adverse Birth Outcomes in a Medicaid-Eligible Population
• Home Visits and the Use of Routine and Emergency Postpartum Care Among Low-Income People: A Secondary Analysis
  of a Randomized Clinical Trial
• Impact of nurse home visiting on take-up of social safety net programs in a Medicaid population