I am a Ph.D. student in the Department of Economics at the University of Hawaii at Manoa advised by Dr. Michael Roberts. My research is in the areas of causal inference, the intersection of machine learning and econometrics, and environmental & energy economics. I am currently studying variable pricing mechanisms and energy sector decarbonization pathways using both observational data and capacity expansion modeling, the impacts of climate change on energy consumption, and the contemporaneous and chronic health effects of air pollution. My other work focues on technical applications of deep learning in econometrics as well as high performance computing for quantitative modeling and harnessing big data.
I am funded through the U.S. Department of Energy's IBUILD Graduate Research Fellowship managed by the Oak Ridge National Laboratory. Additionally, I have spent time at Amazon on the Supply Chain Optimization Team working on experimental validation of causal machine learning methods.
Hartley, E., Caplan, A. (2021)
I presented my work on the U.S. natural gas sector, analyzing projected demand under climate change and quantifying adaptive responses based on historical observations.
Energy Economics Adaptation Climate Change
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Within the broader panel, I discussed the emerging role of artificial intelligence in modeling crop yields under climate change, emphasizing its potential to integrate diverse spatial and temporal data. I also presented my current research, which leverages these capabilities to enhance empirical accuracy and support global yield projections.
Artificial Intelligence Machine Learning Crop Yield Modeling Environmental Economics
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I presented my work on the impacts of variable pricing on consumer welfare and decarbonization strategies as part of the The Energy Transition, Electricity Prices, and Consumer Behavior session hosted by AERE.
Building Efficiency Variable Pricing Energy Economics
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