I am an associate professor at the University of Utah. Trained as a quantitative psychologist, I work to develop, improve, study and apply statistics to social science and medical data.
My interests are focused on the development and application of methods for the analysis of intensive, intraindividual time series. In particular I focus on the development and application of derivatives, differential equation modeling, and dynamical systems concepts to time series that have characteristics common to behavioral and some physiological measures such as relatively low sampling rates, large amounts of measurement and/or dynamic error, and unequally spaced or missing observations. In analyzing such data, I often focus on questions related to the role of variability and less-stable change (the “error” in many statistical models). These methods have the potential to inform theories that address how, when and why people change over time.