CS (University of Toronto)
Caroline is a Ph.D. candidate in Computer Science supervised by Dr. Babak Taati at the University of Toronto. In her research, she seeks to apply cutting-edge advances in machine learning and computer vision to improve quality of life for older adults. Initially, she will work on the AMBIENT project using computer vision to extract pose and gait features from video and predict the fall risk of older adults with dementia.
Caroline received her Bachelor of Science in Mathematics/Computer Science from Brown University in 2017. She then spent four years in the computer science industry, focusing on natural language processing and computer vision research and development. During her time at Howard Hughes Medical Institute’s Janelia Research Campus, she developed a deep-learning-based computer vision model to track cell movement over time in multi-terabyte microscopy datasets.
Caroline’s research interests include machine learning, computer vision, and deep learning, as well as the social impact of artificial intelligence. Additionally, she is passionate about STEM education and advocating for diversity in the sciences.