Data Science Fellow
Michigan Institute for Data Science
The labor market is a setting increasingly disrupted by AI (both in allocation of wages and of jobs) and yet understudied in the ethical AI research space. My research agenda has been focused on the combination of unsupervised learning methods, from network theory, and discrete choice tools, in order to improve the understanding of labor market dynamics and consequently promote evidence for oversight and regulation towards labor market fairness.
AI also shapes the lives of households through mortgages. I have been also interested in exploring interpretability and fairness questions related to AI automated decisions in the mortgage industry, in partnership with the Rocket Companies. In addition to topics related to the nature of the mortgage decision algorithms, I also plan to explore the impact of mortgage decisions in opportunities in life.