I am an Assistant Professor of Economics at the University of New Hampshire. My research focuses on causal inference in the field of health economics using econometric methods, machine learning, and large-scale data.
My current research interests fall into three categories: 1) how does health information technology affect healthcare providers and consumers. 2) the impact of public policies on the population mental health and wellbeing. 3) Dynamic demand functions analysis – causes and implications. My research work has been presented at annual economics conferences hosted by Allied Social Science Associations, American Society of Health Economists, and Agricultural & Applied Economics Association.
I teach principles of microeconomics at the Peter T. Paul College of Business and Economics and will open a course in machine learning for graduate students interested in Python. Besides the field of health economics, I also have work and teaching experience in econometrics, data science, and finance.
