Collin Zoeller

Current Role

I am a pre-doctoral research associate at the Tepper School of Business at Carnegie Mellon University, where I work with large-scale administrative tax data furnished by the Internal Revenue Service. My research supports critical questions in finance and financial economics, with findings presented to top leadership and used to inform IRS policy and published in top finance journals. Learn more on the Research tab.

Previously, I served as the lead computer vision developer at the Record Linking Lab at Brigham Young University, building computer vision tools for genealogical research. Notably, I developed an OCR and NLP pipeline for a collaboration with Harvard Business School.

Research Interests

I am especially passionate about integrating emerging technologies into economics—particularly machine learning and quantum computing. My research explores how these tools can address persistent limitations in traditional econometrics and financial analysis, as well as how these tools have impacted the wider economy.

• Written extensively on topics from applied Stata methods to exotic quantum mathematics.
• Led group trainings to help researchers adopt advanced computational tools.
• Created resources like a Python wrapper for parallelized Stata workflows.
• Developed an LLM package for Stata for debugging and code explanation.

I am convinced the economics profession is only beginning to embrace these transformative technologies, both technologically and academically, and I’m driven to accelerate that shift.

Technical Skills

I bring a strong technical foundation supported by advanced coursework in machine learning and computer science from Carnegie Mellon. My toolkit includes:

• Languages & Tools: Python, Stata, SQL, Linux
• Familiar With: R, CSS, HTML
• Quantum Platforms: IBM Qiskit, Google Cirq, AWS Braket

I’m always open to collaboration—feel free to reach out if you’d like to work together!