Panel 12:40 - 1:40
How to be a successful PhD student and transition to a great job
Ann Irvine is a Senior Data Scientist at RedOwl Analytics. She completed her PhD at the Center for Language and Speech Processing and the Computer Science Department at Johns Hopkins University. She was advised by Chris Callison-Burch, and has worked closely with Alex Klementiev and David Yarowsky. She was a Graduate Fellow at the Human Language Technology Center of Excellence. Her thesis was on machine translation for low resource languages and domains.
Cynthia Matuszek is an assistant professor in the Computer Science and Electrical Engineering department at UMBC, after graduating from the University of Washington in Seattle, where she worked with Dieter Fox and Luke Zettlemoyer.
Her primary research interests are in robotics and natural language processing; in her work, she combine these interests to support research in human-robot interaction, or HRI.
Smaranda Muresan is a Research Scientist at the Center for Computational Learning Systems (CCLS) at Columbia University and an Adjunct Associate Professor in the Department of Computer Science at Columbia University.
Her work focuses on data-driven methods for context-dependent language understanding, grammar induction, relational learning and applications in the area of health informatics, computational social science and human-computer instruction.
Jason Eisner is Professor of Computer Science at Johns Hopkins University, where he is also affiliated with the Center for Language and Speech Processing, the Machine Learning Group, the Cognitive Science Department, and the national Center of Excellence in Human Language Technology. His goal is to develop the probabilistic modeling, inference, and learning techniques needed for a unified model of all kinds of linguistic structure.