Sarah Bana is a dedicated academic professional with a robust background in economics and quantitative research. She currently serves as an Assistant Professor at Chapman University, where she leverages her extensive expertise in higher education and data analysis. Sarah's academic journey includes a Doctor of Philosophy in Economics from UC Santa Barbara, a Master of Arts in Applied Economics from Georgetown University, and a Bachelor of Arts in Quantitative Economics from UC Irvine. Her research interests focus on the evolution of work and the impact of machine learning on the workforce, particularly concerning vulnerable workers. Sarah has held significant roles at prestigious institutions such as the Massachusetts Institute of Technology and the Stanford Digital Economy Lab, where she contributed to groundbreaking research on labor market outcomes and policy analysis. Her professional experience is complemented by her skills in quantitative and qualitative research, econometrics, and program evaluation, making her a valuable contributor to the academic and research community.