Collin Zoeller
Pre-Doctoral Research Associate and ML Developer
Howdy!
As a pre-doctoral research associate at the Tepper School of
Business at Carnegie Mellon University, I leverage extremely large datasets of
administrative tax data furnished by the Internal Revenue Service to address critical questions in finance
and financial economics. My contributions have been presented to top leadership
and informed IRS policy. You can learn about these projects on the Research tab.
Outside my primary role, I am passionate about integrating emerging technologies like machine learning and
quantum computing into economics. I have developed tools like a Python wrapper for parallelized Stata
processes, written extensively about topics ranging from basic Stata implementation to exotic quantum mathematics,
and conducted group trainings to empower researchers to adopt these tools.
Economic research has yet to fully embrace these transformative tools, and I am passionate about driving this progress.
Previously, I built CV tools for genealogy as the lead computer vision developer at
the Record Linking Lab at Brigham Young University.
You can explore the work I have been involved in on the Research tab,
including an OCR and NLP pipeline I built for a collaboration with Harvard Business School.
With advanced coursework in machine learning and computer science from Carnegie Mellon, I bring expertise in
Python, Stata, SQL, and Linux, and I am familiar with R, CSS, and HTML. I also work with quantum platforms
like IBM Qiskit, Google Cirq, and AWS Braket.
I am always eager to take on new projects, so feel free to reach out if you are interested in
working together!