Algorithmic human-robot interaction for robust and socially appropriate assistance to human users, especially
users with disabilities.
Doctor of Philosophy, Computer Science, University of Southern California, USA, 2017
Master of Science, Computer Science, University of Southern California, USA, 2012
Bachelor of Science, Computer Science, Yale University, USA, 2010
Elaine Schaertl Short is the Clare Boothe Luce Assistant Professor in the Tufts University Department of Computer Science. She completed her Ph.D. under the supervision of Professor Maja Mataric in the Department of Computer Science at the University of Southern California (USC), followed by a postdoctoral fellowship in the Socially Intelligent Machines Lab at the University of Texas at Austin. She received her M.S. in Computer Science from USC in 2012 and her B.S. in Computer Science from Yale University in 2010. She is a recipient of a National Science Foundation Graduate Research Fellowship, USC Provost's Fellowship, and a Google Anita Borg Scholarship. At USC, she was recognized for excellence in research, teaching, and service: she was awarded the Viterbi School of Engineering Merit Award and the Women in Science and Engineering (WiSE) Merit Award for Current Doctoral Students, as well as the Best Research Assistant Award, Best Teaching Assistant Award, and Service Award from the Department of Computer Science. At Yale she was the recipient of the Saybrook College Mary Casner Prize. Her research focuses on building algorithms that enable robust assistive human-robot interaction in schools, homes, crowds, and other natural environments.