M.S., Clinical Psychology, University of Wisconsin-Madison, in progress
B.A., Psychology, California State University, Fullerton, 2020
Follow me on Research Gate, Google Scholar, and Twitter @KendraWyant
Research Interests
Broadly, I am interested in machine learning and predictive methods in the context of addictive and high-risk behaviors. My research focuses on identifying temporally precise and low-burden measures with enough strength to accurately predict when someone with drug or alcohol use disorder will lapse. Currently, I am evaluating the potential use of cellular communication logs (SMS and voice call logs) to predict the probability of future (next day) alcohol use lapse among participants who are in recovery from AUD and pursuing abstinence from alcohol. I am also interested in predictive modeling as it relates to opioid use disorder intervention and treatment and the intersection of addiction and the criminal justice system.
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