Jay D. Aronson
Director, Center for Human Rights Science and Associate Professor, Department of History
Office: 246-B Baker Hall
Director, Auton Lab, Robotics Institute and Heinz College
Office: 3128 Newell Simon Hall
Howard Heinz University Professor, Social and Decision Sciences and Engineering and Public Policy
Office: 219-E Porter Hall
Alex John London
Associate Professor and Director, Center for Ethics and Policy, Department of Philosophy
Office: 135 Baker Hall
Alex is Associate Professor of Philosophy and has directed the Center for Ethics and Policy since 2007. He has written extensively on ethical issues in the conduct of research involving human subjects, including international research. He is particularly interested in problems relating to uncertainty, risk, fairness, equality and justice. He also works on methodological issues in both theoretical and applied ethics. In 2006 Alex received the Distinguished Service Award from the American Society for Bioethics and Humanities and in 2005 he was awarded a New Directions Fellowship from the Andrew W. Mellon Foundation. He has been commissioned to write papers for the Institute of Medicine, the Centers for Disease Control and Prevention, and for a national study group that explored ethical issues involved in innovative surgical practices. He is curently a member of the Ethics Working Group of the HIV Prevention Trials Netword where he serves as liaison to vaginal health protocols. Co-editor of one of the most respected and widely used textbooks in bioethics, Alex has authored more than 30 papers and book chapters in bioethics.
Joe Mertz, Jr.
Associate Teaching Professor and Director of Technology Consulting in the Global Community Program, Heinz College and Infomation Systems
Office: 3022 Hamburg Hall
E. Fredkin University Professor and Chair, Machine Learning Department
Office: 8221 Gates Hillman Center
Website: http://www.cs.cmu.edu/~tom/Tom is the E. Fredkin University Professor and head of the Machine Learning Department at Carnegie Mellon University. He is a member of the U.S. National Academy of Engineering, a Fellow of the American Association for the Advancement of Science (AAAS), and a Fellow and Past President of the Association for the Advancement of Artificial Intelligence (AAAI). Mitchell's research involves developing statistical machine learning algorithms, motivated by particular applications. One current application focus is cognitive neuroscience. In particular, Mitchell has been using fMRI and MEG brain image data to study how the human brain uses neural activity to represent meanings of common words. One of the attached papers describes the use of machine learning algorithms to develop a computational model that predicts the observed fMRI neural activity observed for specific nouns. A second current application area involves analysis of large volumes of text to extract targetted information. In particular, Mitchell leads the "Read the Web" research project which uses machine learning methods to extract hundreds of types of targetted information from the web, such as information about which cities lie on which rivers, the names of different regions in the brain, and which companies compete with one another. This research has produced a growing knowledge base containing hundreds of thousands of such beliefs. This knowledge base can be browsed online at http://rtw.ml.cmu.edu.
Daniel B. Neill
Assistant Professor of Information Systems and Director, Event and Pattern Detection Laboratory, Heinz College and School of Computer Science
Office: 2105-B Hamburg Hall
Website: http://www.cs.cmu.edu/~neill/Daniel is Assistant Professor of Information Systems at the H.J. Heinz III College of Carnegie Mellon University (School of Public Policy and Management, and School of Information Systems and Management). He holds courtesy appointments in the Machine Learning Department and Robotics Institute at Carnegie Mellon, and is an adjunct professor in the University of Pittsburgh's Department of Biomedical Informatics. He received his M.Phil. in Computer Speech from Cambridge University in 2002, his M.S. in Computer Science from Carnegie Mellon in 2004, and his Ph.D. in Computer Science from Carnegie Mellon in 2006. Prof. Neill is the author of more than thirty publications on the topic of event and pattern detection, and is the director of the recently established Event and Pattern Detection Laboratory at CMU. He has also published in a variety of other ﬁelds including game theory, evolutionary biology, natural language processing, health care information systems, and cancer biology. Detection methods developed by Prof. Neill and colleagues have been incorporated into deployed disease surveillance systems in the U.S., Canada, India, and Sri Lanka, and his CrimeScan software is in day-to-day operational use by the Chicago Police Department in order to predict and prevent emerging hot-spots of violent crime. He has also developed a new curriculum in Machine Learning and Policy at CMU, creating several new graduate courses and establishing the world's ﬁrst Ph.D. program in Machine Learning and Policy. Prof. Neill is the recipient of an NSF CAREER award (2010) and NSF Graduate Research Fellowship (2002-2005), and received the Best Research Presentation award at the 2005 National Syndromic Surveillance Conference.
Professor, School of Computer Science
Office: 8106 Gates Hillman Complex
Website: http://www.cs.cmu.edu/~roni/Roni is Professor of Language Technologies, Machine Learning and Computer Science at Carnegie Mellon University. His research interests include Information and Communication Technologies for Development (ICT4D), and specifically Spoken Language Technologies for Development (SLT4D): finding ways to use speech recognition and automated dialog systems to aid socio-economic development around the world. Current projects investigate telephone-based information access and information entry by low-literate community health workers in Pakistan, and automated public health surveillance in local languages around the world. Prof. Rosenfeld received a B.Sc. in Mathematics and Physics from Tel-Aviv University, and a M.Sc. and Ph.D. in Computer Science from Carnegie Mellon University. He is a National Science Foundation Graduate Fellow, and a recipient of the Allen Newell Medal for Research Excellence.
Assistant Professor and Director, Ford Institute for Human Security, University of Pittsurgh Graduate School of Public and International Affairs
Office: 3937 Posvar Hall, University of Pittsburgh
Associate Teaching Professor, Information Systems
Office: 224-D Porter Hall
Teaching Professor and Director, Information Systems
Office: 224-C Porter Hall