I am a Data Science & AI Research Fellow at the Michigan Institute for Data Science (MIDAS), holding a Ph.D. in Economics, with a joint degree in Statistics, from the University of Michigan.

I am also a research fellow at the Institute for Applied Economic Research within the Brazilian government (IPEA).

I am interested in causal inference, machine learning, and the intersection between the two. My work primarily focuses on enhancing causal inference tools by integrating interdisciplinary statistical methods with them. The statistical methods I propose are motivated by real-world problems, and I choose to illustrate them through applications in social fairness. I am also engaged with the development of responsible AI methods, approaching them from a causal inference perspective.

Research

Teaching

CV

Conferences & Service

Code

Other fun stuff

Contact: bmodene <at> umich <dot> edu