Bernardo Modenesi, MSci, PhD

My job: I joined the University of Utah in Salt Lake City as tenure-track faculty in Biostatistics, at the Spencer Fox Eccles School of Medicine, and as an adjunct assistant professor in Computer Science, at the Kahlert School of Computing.

Research: My research sits at the intersection of causal inference (CI), particularly for observational studies, and machine learning (ML). I focus on (1) leveraging ML to capture complex, high-dimensional confounding so that causal effect estimation is feasible in realistic settings, and (2) importing causal concepts into ML to design methods that tackle pressing Responsible AI contemporary issues.

Training: I hold a Ph.D. in Economics, with a joint degree in Statistics, from the University of Michigan. After my Ph.D. I was a Data Science & AI Research Fellow at the Michigan Institute for Data and AI in Society (MIDAS), in collaboration with the Rocket Companies.