Caroline Kery is a data scientist at the Center for Data Science. She uses her experience in natural language processing, data visualization, and machine learning to explore novel ways of answering questions through data. While at RTI, Ms. Kery worked with the team to develop SMART, an open source web application designed to help data scientists and research teams efficiently build labeled training data sets for supervised machine learning tasks.
Prior to joining RTI, Ms. Kery earned her master’s degree at UMBC, where she researched multilingual language acquisition for assistive robotics, and worked as a teaching assistant for classes in machine learning and natural language processing.
