The QCQP Approach: A Novel Design Strategy for Optical Computing Devices
Exploration of a novel approach to wave-based optimization problems with high computational complexity (e.g., designing an optical computer).
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portfolio
Lottery Preferences and AI Stock Exuberance
An analysis of equity overpricing in the AI sector through the lens of behavioral finance.
publications
Using Large Language Models to Measure U.S. Retirement Plan Design at Scale: Methods and Evidence
Published in Forthcoming, 2026
Using an LLM-based pipeline we produce a dataset covering nearly 150,000 distinct plans over 21 years (2003-2024), yielding over one million plan-year observations: more than twentyfold the coverage of existing hand-collected data. This expansion enables the first comprehensive population-level analysis of retirement plan design.
Recommended citation: Taha Choukhmane, John M. Dedyo, Cormac O'Dea, Lawrence D.W. Schmidt. (2026). 'Using Large Language Models to Measure U.S. Retirement Plan Design at Scale: Methods and Evidence' Forthcoming.
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talks
Using Large Language Models to Measure U.S. Retirement Plan Design at Scale: Methods and Evidence
Date:
I discuss how large language models can transform labor-intensive data collection in economics by constructing a comprehensive dataset of U.S. retirement plan characteristics from regulatory filings. I then present preliminary results from this novel dataset.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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