Carolina Ruiz is the Associate Dean of Arts and Sciences and the Harold L. Jurist ’61 and Heather E. Jurist Dean's Professor of Computer Science. She joined the WPI faculty in 1997. Prof. Ruiz’s research is in Artificial Intelligence, Machine Learning, and Data Mining, and their applications to Medicine and Health. She has worked on several clinical domains including sleep, stroke, obesity and pancreatic cancer. Prof. Ruiz and her research group have developed novel, high-performing machine learning methods, including deep learning networks, for analyzing physiological sleep data; and machine learning approaches for discovering patterns in behavioral data, aimed at transforming sleep-related and diet-related behaviors and improving health. Prof. Ruiz has also worked on interdisciplinary research at the intersection of Artificial Intelligence, Computational Thinking and Education. She is a founding and core member of the Bioinformatics and Computational Biology, the Data Science, and the Neuroscience Programs, and is also a member of WPI's Center for Project-Based Learning. Prof. Ruiz has advised over 35 MS and PhD students, 150 undergraduate students, and 12 high school students in disciplinary and interdisciplinary research projects. She has also advised projects at the intersection of science, technology and society at the WPI Project Centers is London, England and Wellington, New Zealand. Prof. Ruiz has served as Associate Department Head of Computer Science. She has also served as an elected member on several WPI Faculty Governance committees including the Committee on Tenure and Academic Freedom (CTAF), the Committee on Academic Policy (CAP) and the Committee on Academic Operations (CAO). She currently serves as faculty appointee on the WPI Board of Trustees' Academic Planning Committee.
Medical News Today published an article about a smartphone app developed at WPI that may help in the fight against obesity. While apps that aim to assist with weight loss are not new, this app — known as SlipBuddy — takes a unique three-pronged approach to combat overeating.