He studies the design of user-facing uncertainty in everyday sensing and prediction, such as personal informatics systems for health and applications for real-time transit prediction. He considers scientific communication a particular form of communicating uncertainty, and believes the statistical tools and techniques most common to the field (frequentist NHST) generate difficult-to-understand representations of uncertainty. He has published work advocating for a shift to the use of Bayesian estimation in VIS (InfoVis 2015) and HCI (CHI 2016). His website is: www.mjskay.com.