Jamie Callan is an associate professor in the School of Computer Science Language Technologies Institute (LTI) and H. John Heinz III School of Public Policy and Management. While his background is in information retrieval (IR) and machine learning, his interests include a range of information access and analysis topics.
His group's current research is oriented around 4 projects: federated search (distributed IR), accurate document filtering, large-scale text analysis, and IR for language applications. Callan's students initially work closely with him to study specific ideas while learning research skills and IR. As students gain expertise, they develop their own interests and have more freedom in exploring them.
Lorrie Cranor is an associate professor in the Institute for Software Research at Carnegie Mellon University. Her current research focuses on usable privacy and security, privacy enhancing technologies, as well as Internet policy issues. She works on applications of the Platform for Privacy Preferences (P3P), anti-phishing, and privacy and security policy management, among other things. Lorrie chaired the P3P Specification working group and designed the Privacy Bird P3P user agent. She completed a book on P3P in 2002 and co-edited a book on Security and Usability in 2005. Lorrie has also done research on electronic voting and a novel voting procedure called declared-strategy voting.
Andrew Moore is a professor of Robotics and Computer Science at the School of Computer Science. His main research interest is data mining: the exciting world of algorithms for finding all the potentially useful and statistically meaningful patterns in massive sources of data. Data mining is a rewarding area in which to work because the fundamental data structures, algorithms and mathematics are beautiful. And it’s a way for Computer Science to have a direct impact in the real world. His research group, The Auton Lab, works with astrophysicists, biologists, marketing groups, bioinformaticists, manufacturers, and chemical engineers.
Eric Nyberg is an associate professor at Carnegie Mellon University, with a joint appointment in the School of Computer Science and the Heinz School of Public Policy and Management. He is co-director of the MSIT-VLIS program. Eric joined the Center for Machine Translation (CMT) at Carnegie Mellon in 1986. Since then, his research projects have focused on knowledge-based machine translation for practical applications, most notably the KANT System, which has been deployed for Caterpillar, Inc. When the CMT expanded into the Language Technologies Institute in 1996, Nyberg became involved in curriculum development and teaching. He currently teaches a two-course sequence, Software Engineering for Information Technology, as well as two laboratory courses in natural language processing and machine translation.
Latanya Sweeney is an associate professor of Computer Science, Technology and Policy in the School of Computer Science at Carnegie Mellon University. She is founder and director of the Data Privacy Lab, which works with real-world stakeholders to solve today’s privacy technology problems. Her work involves creating technologies and related policies with provable guarantees of privacy protection while allowing society to collect and share person-specific information for many worthy purposes.
Sweeney’s work has received awards from numerous organizations, including the American Psychiatric Association, the American Medical Informatics Association, and the Blue Cross Blue Shield Association. Her work has appeared in hundreds of news articles, numerous academic publications, and was even cited in the original publication of the HIPAA Privacy Rule. Companies have licensed and continue to use her privacy technologies.
Anthony Tomasic is the director of the MSIT-VLIS program. He is a Senior Systems Scientist in the Institute for Software Research International at Carnegie Mellon University. His research interests focus on very large information systems and the application of machine learning to the desktop.
He has worked as an officer for various internet start-ups and a researcher for Dyade, a research and development consortium established by Institute National de Researche en Informatique et en Automatic and the Group Bull. Tomasic was scientific director for the team of students and engineers that built Disco, a distributed heterogeneous database system.
Tomasic has worked as a researcher for the IBM Almaden Research Center, the European Computer-Industry Research Centre, and the Database Group at Stanford University, where he completed his Ph.D. work on the performance of distributed information retrieval search engines. He earned an MS and a Ph.D. from the Department of Computer Science at Princeton University.