Kendra Wyant, M.S.


Office: 325 Psychology

Ph.D., Clinical Psychology, University of Wisconsin-Madison, in progress

M.S., Clinical Psychology, University of Wisconsin-Madison

B.A., Psychology, California State University, Fullerton, 2020

Curriculum Vitae

Follow me on Google Scholar and Twitter @KendraWyant

Research Interests

Digital therapeutics have the ability to mitigate many of the barriers associated with traditional mental health care. My research explores how we can make digital therapeutics more effective for substance use disorders. Specifically, I am interested in building risk-prediction models for when someone might return to goal-inconsistent substance use and explaining this risk in terms of personalized factors contributing to risk at a specific moment in time. As substance use disorders are chronic diseases, I believe on-going risk-monitoring to be an essential part of treatment. Digital therapeutics offer an opportunity for individuals to self-monitor their risk indefinitely. Therefore, my research uses low-burden sources of data such as brief daily surveys and passive sensing data streams (cellular communications, geolocation) to build models that yield high sensitivity and specificity without unduly increasing cost (i.e., burden on the user) of data collection. I have also begun to explore how to best evaluate and explain the performance of our models in terms of equity and fairness across various subgroups and how the top risk features at a given moment in time might inform intervention and treatment.


Current Projects

Contextualized daily prediction of lapse risk in opioid use disorder by digital phenotyping

Dynamic, real-time prediction of alcohol use lapse using mHealth technologies