CV

• Built a semantic search engine over 9.2 million mathematical theorems using a vector embedding pipeline and AWS infrastructure
• Accepted to the 2026 ICLR Workshop on LLM Reasoning

• Examined how Okun's Law changed in the U.S. across recession periods and states using 2005–2025 data with R
• Found no evidence of coefficient heterogeneity across recession periods, and only weak evidence across states

• Analyzed how well the Mankiw-Romer-Weil Solow growth model captures economic dynamics of the U.S., Japan, and Germany from 1950–2023 with Python
• Found that a SINDy-driven model outperformed those with constant or time-varying exogenous parameters

Statistics Directed Reading Program

• Studied econometric causal estimators under faculty mentorship, with emphasis on identification strategies and their theoretical foundations
• Delivered a 15-minute presentation on the instrumental variables estimator applied to a job training program efficacy study

Precalculus, Calculus I–III