About

I am a Ph.D. student in Economics at the University at Buffalo (SUNY) whose research integrates applied micro, causal inference, and machine learning to address questions in labor & education, health, and development economics.

My work focuses on leveraging modern computational and econometric methods to uncover heterogeneous treatment effects, improve policy evaluation, and advance data-driven decisions in both developed and emerging economies. I also feature skills in Business Intelligence where I present complex data into clear insights and meaningful stories.

Alongside my academic research, I am interested in quantitative finance and the use of economic analysis in business. Through ACWIS and Meso Insights, I am developing practical tools for health-workforce planning and organizational decision-making, with an emphasis on clear communication and careful interpretation of evidence.