Sarah Jobalia

Sarah Jobalia is a PhD candidate in the Computer Science Department, advised by Ron Fedkiw. Her research centers on building more accessible tools for animation artists to represent characters of all backgrounds on screen. Specifically, through the study of hair- both on- and off-screen, Sarah uses a combination of Computer Graphics and Machine Learning to automatically generate 3D hair styles from just a few images of any subject. By focusing on how hair type affects the way hair looks and moves, she builds tools that are equitably representative of all styles.