Alongside coursework, I've worked as a teaching assistant for Cornell's CS 1110 (Introduction to Computing: A Design and Development Perspective), and done data replication work for Cornell ILR's LDI replication lab. In previous summers, I held roles spanning finance, data management, and market analysis, and completed an independent study applying spatial statistics (kriging, point-pattern analysis) to solar panel siting in California.

My academic focus sits at the intersection of statistical theory, computing, sustainability, and finance. I've built deep technical skills in SAS, R, Python, and GIS, and I care about applying rigorous quantitative methods to problems with a real environmental or social payoff. Years in team-based academic and work settings have also sharpened my collaboration, project management, and communication skills — I try to pair technical depth with the ability to explain findings clearly to non-technical audiences.

If you're looking for someone with strong statistical computing skills who works well on a team, I'd love to connect — especially for opportunities in data science, quantitative research, or environmental finance.