I bring statistics and machine learning together with critical perspectives from social science to consider when, how, and why data and modeling succeed in their aims—and when, how, and why they can fail. I am passionate about improving practice towards more responsible, robust, effective, and just uses of data and modeling. I have engaged in collaboration and outreach with practitioners in policy, public health, medicine, law, education, government, journalism, social science, industry, civil society, and
My 2020 preprint, A hierarchy of limitations in machine learning , is my major individual work.
I am currently Senior Data Science Analyst - AI Ethics at the Mayo Clinic ’s Center for Digital Health. Previously, I was Director of Data Science at Avant-garde Health , a healthcare data startup born out of Harvard Business School’s value-based healthcare research.