Alex Elder

Alex Elder, Ph.D., is a Senior Applied Scientist at Amazon, specializing in graph neural networks and causal inference to predict and simulate labor market dynamics. Previously, they served as a Data Scientist at The Energy Authority, developing models for electrical demand forecasting, and as a Senior Associate - Quantitative Analyst at Diversified Trust, where they established a quantitative research program. Alex holds a Bachelor of Science in Mathematics from the University of Puget Sound and a Ph.D. in Physical Chemistry from the Georgia Institute of Technology. Their work experience includes roles in academia and the energy sector, demonstrating expertise in data science and quantitative analysis.