About me

I’m a lecturer and research investigator at the University of Michigan School of Information. I teach graduate courses about statistics and data science. I am currently conducting research about how scientists learn and use methods for data-intensive work.

Previously, I worked in auditory neuroscience using mathematical models of sensory perception to test hypotheses about communication disorders. In my doctoral work in Speech and Hearing Science at the University of Washington, I proposed a multifactorial model of risk for dyslexia in children. I’ve also worked as a developer advocate for open source tools like Data Version Control.