Pre-doctoral RA, CMU · Incoming MSEC, Duke · Fall 2026
Aspiring economist and builder at the intersection of machine learning, quantum computing, and empirical research.
Current role
Working with IRS administrative tax data on questions in finance and entrepreneurship. Headed to Duke this fall for the MSEC.
Research interests
Integrating machine learning and quantum computing into empirical economics.
Technical toolkit
GAMA-IV: Quantum Annealing for Globally Optimal Instrument Selection
Applying the GAMA framework to instrument selection in disaggregated Bartik IV estimation — the first globally optimal procedure for the GPS (2020) framework, implemented on D-Wave quantum hardware.