I am a Ph.D. candidate in Economics at the University of California San Diego. My fields are finance and macroeconomics. I am on the 2025-2026 job market.

I am a data scientist specializing in causal inference, machine learning, large-scale data engineering, and forecasting. I work extensively with Python and SQL, using tools such as Pandas, Dask, scikit-learn, and DuckDB to build and analyze high-dimensional datasets. I have also constructed data pipelines in both AWS and Azure environments. 

I triple majored in Computer Science, Mathematics, and Economics at Trinity College in Hartford, Connecticut. Before graduate school, I worked as a sales engineer at Cisco Systems, and more recently I was a data science intern at Demandbase where I developed large-scale machine learning pipelines for B2B sales recommendations.