Kristen Jaskie received her Ph.D. in Signal Processing and Machine Learning through the Electrical Engineering department and the SenSIP center at Arizona State University in Tempe, Arizona in 2021 and her B.S. and M.S. degrees in Computer Science with an emphasis in Machine Learning from the University of Washington in Seattle, Washington and the University of California San Diego in San Diego, California, respectively. Kristen is the principal ML research scientist at Prime Solutions Group and a postdoctoral researcher at ASU working with Dr. Spanias in the SenSIP center. Kristen's research interests include machine learning and deep learning algorithm development and application, with a focus on semi-supervised learning and the positive and unlabeled learning problem. She is the author of multiple papers including "Positive and Unlabeled Learning Algorithms and Applications: a Survey," "A Modified Logistic Regression for Positive and Unlabeled Learning," and "PV Fault Detection Using Positive Unlabeled Learning."
