Nathan Eagle is an Omidyar Fellow at the Santa Fe Institute where he is applying machine learning and network analysis techniques to large human behavioral datasets. Coupling anonymized communication data involving hundreds of millions of people with longitudinal data ranging from financial transactions and movement patterns to regional information about access to health care and socioeconomic status, he and his collaborators are developing algorithms that they hope will ultimately provide deeper insight into human societies.
Eric Horvitz is a Principal Researcher at Microsoft Research. His interests span theoretical and practical challenges in machine reasoning and learning, decision making under uncertainty, human-computer collaboration, and information retrieval. His organization at Microsoft Research includes teams doing work in machine intelligence, search and retrieval, human-computer interaction, ecommerce, theory, and cryptography. He is President of the Association for the Advancement of Artificial Intelligence (AAAI) and is a Fellow of the organization.
Shawndra Hill is an Assistant Professor of Operations and Information Management at Wharton in the University of Pennsylvania. Her research interests are in statistical relational learning, data mining and dynamic networks. She also teaches courses at Addis-Ababa University, Ethiopia.
Ravi Jain is an engineering manager at Google, Mountain View, California, currently focusing on mobile advertising. At Google he has also led the efforts on location based services and syndicated mobile search. Previously, from 2002 to 2005, he was Vice President and Director of the Network Services and Security Lab in DoCoMo USA Labs.
Rajarshi Das is a researcher at IBM T.J. Watson Research Center with long-term interest in applying novel machine learning techniques for real-world problems. He was also a SFI and Los Alamos post-doctoral fellow in the 1990s. His formative years were spent in rural India which has left a lasting desire to apply his domain expertise for rural development.
Saleema Amershi is a PhD student in Computer Science and Engineering at the University of Washington. Her research interests are in human-computer interaction, statistical machine learning, intelligent user interfaces and user modeling. She is currently working on human-in-the-loop machine learning tools for helping people explore data in databases.
Gaetano Borriello is a Professor in the Department of Computer Science and Engineering at the University of Washington. His current research interests focus on the design, development, and deployment of embedded systems with particular emphasis on mobile and ubiquitous devices and their application. The focus of Gaetano's research interests are in location-based systems, sensor-based inferencing, and tagging objects with passive and active tags.
Dr. Ferguson is Professor, and holds a Royal Society University Research Fellowship, at the University of London, Imperial College of Science, Technology and Medicine in the United Kingdom. Dr. Ferguson conducts research at on the development of robust methodologies for the quantitative analysis and prediction of patterns of infectious disease spread and evolution, as they apply to the design of control and treatment programs. He received his doctorate in theoretical particle physics from the University of Oxford in 1994.
Ashish Kapoor is a researcher with the Adaptive Systems and Interaction Group at Microsoft Research, Redmond. His research interests revolve around Machine Learning and Computer Vision with applications in User Modeling, Affective Computing and Computer-Human interaction scenarios.
Roni Rosenfeld is Professor of Language Technologies, Machine Learning and Computer Science at the School of Computer Science, Carnegie Mellon University in Pittsburgh, Pennsylvania. Professor Rosenfeld's current research interests are in computational analysis of fast evolving pathogens, and in the use of Information and Communication Technologies for Development (ICT4D). He has also performed research in statistical language modeling, machine learning and speech recognition.
John Quinn is a Lecturer in Computer Science at the Faculty of Computing and IT, Makerere University, Uganda. His research interests are in machine learning and pattern recognition. He received a BA in Computer Science from the University of Cambridge in 2000, and his PhD from the University of Edinburgh in 2007 (studying in the Institute for Adaptive and Neural Computation, School of Informatics).
Kentaro Toyama is co-founder and assistant managing director of Microsoft Research India, in Bangalore, where he supports the lab’s daily operation and contributes to strategy and overall management. He also leads the “Technology for Emerging Markets” group, which conducts multidisciplinary research to identify applications of computing and electronic technology for socio-economic development. In 2006, he co-founded the IEEE/ACM International Conference on Information and Communication Technologies and Development (ICTD), as a global platform for rigorous scholarship in this area.
Dr. Peter Waiganjo Wagacha is a lecturer in the School of Computing and Informatics at the University of Nairobi. His current research interests focus on the machine learning and data mining, particularly applied towards the development of a Swahili text-to-speech system.
Lakshminarayanan Subramanian's research interests are in the areas of networks, distributed systems and security. He leads the Networks and Wide-Area Systems(NeWS) research group and the CATER research initiative at NYU. CATER is a multidisciplinary research initiative across different departments within NYU that focuses on the development of Cost-Effective Appropriate Technologies for Emerging Regions (CATER) to address important problems in developing region contexts.
Professor Alex ("Sandy") Pentland is a pioneer in organizational engineering, mobile information systems, and computational social science. Sandy's focus is the development of human-centered technology, and the creation of ventures that take this technology into the real world.
Vanessa Frias-Martinez is a researcher at Telefonica. Her current research interests lie in modeling and understanding the impact that demographics, social, cultural and economic variables play in the way people use technology.
Gari Clifford is a facutly member at the University of Oxford at the Institute of Biomedical Engineering where he is the Associate Director of the Centre for Doctoral Training in Healthcare Innovation and a Lecturer in Biomedical Engineering, His research and teaching interests lie in Intelligent Patient Monitoring, Signal Processing, Data Fusion and Machine Learning. His main application areas in health are Critical Care, Sleep, and Resource-Constrained Environments. Gari also hold research positions at MIT and Harvard.
Emma Brunskill is currently a NSF mathematical sciences postdoctoral fellow at UC Berkeley, working with Stuart Russell and Eric Brewer. She recently completed her doctorate in computer science at MIT where she worked with Nicholas Roy, Leslie Pack Kaelbling and Tomas Lozano-Perez. Her thesis work focused on decision making under uncertainty. Outside of artificial intelligence, she is interested in using information communication technologies for international development.
Massoud Moussavi is the Founder and Managing Director of Causal Links, LLC. His interests are in discovering the causal structures and developing decision-theoretic models in fields such as education, health, and finance. He was at the World Bank for more than 20 years working on policy research and knowledge-based systems for development.