POSTDOC OPPORTUNITY ✨

Consider applying to Responsible AI PostDoc at U. of Utah and picking me as a mentor.

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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.

Research: I work at the intersection of causal inference (CI), particularly with observational data, and machine learning (ML). In my research, I: (1) leverage ML to capture complex confounding variation, making CI estimation feasible in high-dimensional settings; and (2) apply CI principles to detect discrimination in ML models, while also developing tools to address other Responsible AI challenges.

Many of my projects stem from applied problems that push the boundaries of existing statistical methods, inspiring the creation of new methodologies. I often illustrate these methods through applications aimed at promoting social fairness.

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. 

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