Rayid Ghani is the Director of the Center for Data Science and Public Policy, Research Director and Senior Fellow at the Computation Institute and a Senior Fellow at the Harris School of Public Policy at the University of Chicago. He is interested in using data and analytics for solving high-impact social good problems in areas such as criminal justice, education, healthcare, energy, transportation, economic development and public safety. In years prior he worked as the Chief Scientist at Obama for America 2012 campaign and as the Senior Research Scientist and Director of Analytics Research at Accenture Labs.
Carla Gomes is a Professor of Computer Science and the Director of the Institute for Computational Sustainability at Cornell University. Her research area is artificial intelligence with a focus on large-scale constraint-based reasoning, optimization and machine learning. Recently, she has become deeply immersed in the establishment of the new field of Computational Sustainability.
Nicolas Papernot is a graduate student in Computer Science and Engineering at Pennsylvania State University where he works with Professor Patrick McDaniel on the security and privacy of machine learning. He is also a Google PhD Fellow in Security. Previously, he received his M.S. and B.S. in Engineering Sciences from the Ecole Centrale de Lyon in France.
Gabriel Skantze is an Associate Professor in Speech Communication and Technology, with a specialization in Conversational Systems, at the Department of Speech Music and Hearing at KTH in Stockholm. He also serves as a faculty member of the SRA ICT-The Next Generation platform at KTH. In 2014, he co-founded the company Furhat Robotics, and since 2015 he has been one of 34 members of the Young Academy of Sweden—an independent, cross-disciplinary forum for some of the most promising young researchers in Sweden. His research involves studying human communication and developing computational models that allow computers and robots to speak face-to-face with humans.
Sidney D’Mello is an Associate Professor in the departments of Psychology and Computer Science at the University of Notre Dame. His primary research interests are in the cognitive and affective sciences, artificial intelligence, human-computer interaction and the learning sciences. He is an Associate Editor for IEEE Transactions on Affective Computing and IEEE Transactions on Learning Technologies, a Senior Reviewer for the Journal of Educational Psychology and serves on the executive board of the International Artificial Intelligence in Education Society and Educational Data Mining Society.
Eric Van Gieson is the Chief of the Diagnostics, Disease Surveillance and Threat Detection Division within the Defense Threat Reduction Agency (DTRA). In his current role, he works across industry and the interagency to foster the linkage of home-use and point of care diagnostics with health surveillance capabilities, especially in resource-limited environments.
Prior to serving in DTRA, he served as a program manager for military diagnostics within the Johns Hopkins Applied Physics Laboratory (JHU-APL). Van Gieson has PhD in Biomedical Engineering and a B.S. in Chemical Engineering from the University of Virginia. He has worked in both industry and government settings and has publications on topics ranging from genomic analysis to unmanned systems autonomy. He led several technology survey efforts for the DoD in diagnostics and has reviewed for several major diagnostics acquisition and S&T programs.
Michael Gillam is an emergency physician and medical informaticist. He is a former partner-level physician executive at Microsoft and Director for Healthcare Innovation for the Microsoft Health Solutions Group. He founded and led the Microsoft Healthcare Innovation Lab for five years, which served as an incubation, technology transfer and prototyping lab for next-generation health informatics technologies. He was one of four physician directors for a team and software which was acquired by Microsoft in 2007 and became one of Microsoft's flagship products in healthcare, Microsoft Amalga™. He is a board-certified emergency medicine physician who trained, practiced and taught at the Feinberg School of Medicine of Northwestern University and Evanston Northwestern Healthcare. He has served as Chair of Informatics for both the Society for Academic Emergency Medicine (SAEM) and the American College of Emergency Physicians (ACEP) and has had ten patents awarded or in submission in health information technology.
Albert Kellner is a Senior Scientist at the Sanford-Burnham Medical Research Institute in La Jolla, California, where he is leading the development of automated high-resolution optical cytometers for high-throughput biomedical screening. Prior to this he was an Assistant Researcher and lecturer in the Department of Electrical and Computer Engineering at the University of California San Diego, where he led research on quantitative optical cytometry and on broadband optical networks for multimodal sensor fusion. He was also a research engineer at the Westinghouse Electric Corporation where he conducted research and development on integrated optical sensors. He received his PhD in applied physics from the University of California San Diego.
David Kale is a PhD candidate in Computer Science, Viterbi Dean’s Doctoral Fellow and Alfred E. Mann Innovation in Engineering Fellow at the University of Southern California. His research uses machine learning to extract insight from digital data in high-impact domains including healthcare. He is affiliated with the Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit (VPICU) at Children’s Hospital, where he worked for three years as a data scientist. He helps organize the annual Meaningful Use of Complex Medical Data Symposium and is a co-founder of Podimetrics.
Bill Smart is an Associate Professor of Mechanical Engineering and Adjunct Associate Professor of Computer Science at Oregon State University. He does research in the areas of robotics and machine learning. In robotics, Smart is particularly interested in improving the interactions between people and robots, and in machine learning, he is interested in developing strategies for teaching robots to act effectively (or even optimally), based on long-term interactions with the world and given intermittent, and at times incorrect, feedback on their performance. He received his PhD in Computer Science from Brown University in 2002.
Stefano Ermon is an Assistant Professor in the Department of Computer Science at Stanford University, where he is affiliated with the Artificial Intelligence Laboratory, and a Fellow of the Woods Institute for the Environment. His research is centered on techniques for scalable and accurate inference in graphical models, statistical modeling of data, large-scale combinatorial optimization and robust decision-making under uncertainty, and is motivated by a range of applications, in particular ones in the emerging field of computational sustainability.
Erin Walker is an Assistant Professor in the School of Computing, Informatics and Decision Systems Engineering, one of the Ira A. Fulton Schools of Engineering at Arizona State University. Her research uses interdisciplinary methods to improve the design and implementation of educational technology, and then to understand when and why it is effective. Prior to this, she was a Computing Innovation Postdoctoral Fellow at Arizona State University, and she completed her PhD in Human-Computer Interaction at Carnegie Mellon University in 2010. Her broad interests include research in intelligent tutoring systems, computer-supported collaboration, tangible learning environments, technology for the developing world and human-computer interaction.
Evan Muse, MD, is a cardiologist with expertise in preventive cardiology and non-invasive, general cardiology. In addition to his clinical practice, he conducts research exploring the crosstalk of lipid and inflammatory networks in macrophage, with the goal of identifying new therapies for the prevention and treatment of atherosclerotic heart disease (atherosclerosis). He also conducts clinical trials in the genomics of cardiovascular diseases, including atrial fibrillation and heart attack.
Danah Boyd is a Principal Researcher at Microsoft Research, the founder of Data & Society, and a Visiting Professor at New York University’s Interactive Telecommunications Program. She is author of the book, It’s Complicated: The Social Lives of Networked Teens, as well as co-author of Hanging Out, Messing Around, and Geeking Out: Kids Living and Learning with New Media and Participatory Culture in a Networked Era. She completed her PhD at the School of Information at the University of California Berkeley in 2008. Her research examines the intersection between technology and society.
Bistra Dilkina is an Assistant Professor at the School of Computational Science and Engineering. She received her PhD in Computer Science from Cornell University and joined Georgia Tech in August 2013. Dilkina works on challenging computational problems that arise in the area of sustainability and sustainable development. She is interested in network design problems as they arise in large-scale wildlife conservation planning and urban planning. At Georgia Tech, she teaches a special topics graduate class on Computational Sustainability, where she introduces computing students to the wide variety of applications in sustainability and shows them how they can harness their deep expertise in data analytics, machine learning and algorithms to address important computational problems with high societal impact.
Madeleine Clare Elish is a cultural anthropologist focusing on the social impact of artificial intelligence and automation. Her research investigates how new technologies affect understandings of values and ethical norms, particularly in professional and labor contexts. Her dissertation examines how the sociotechnical systems of drone operations are implicated in changing conceptions of skill, honor and military service in the United States. Madeleine also works as a researcher with the Intelligence & Autonomy Initiative at Data & Society, which develops empirical and historical research in order to ground policy debates around the rise of machine intelligence. She is currently a doctoral candidate in Anthropology at Columbia University and previously earned an S.M. in Comparative Media Studies at MIT.
Barry O’Sullivan serves as Director of the Insight Centre for Data Analytics in the Department of Computer Science at University College Cork. At UCC he holds the Chair of Constraint Programming. He was elected a Fellow of EurAI, the European Association for Artificial Intelligence, and a Senior Member of AAAI, the Association for the Advancement of Artificial Intelligence, in 2012. In 2014, he was elected to the board of EurAI, and was elected its Deputy President in August 2016. He has been involved in winning over €140 million in research funding, of which approximately €25 million has directly supported his research activities at UCC.
Ivan Laptev is INRIA research director affiliated with INRIA Paris-Rocquencourt, a unit of the French National Institute for Research in Computer Science and Control. Ivan works in the WILLOW research group associated with École Normale Supérieure and led by Jean Ponce. He obtained a PhD from the Royal Institute of Technology (KTH) in 2004 where he was at the Computer Vision and Active Perception laboratory (CVAP). Ivan's main research interests include visual recognition of human actions, objects and interactions. He has published over 50 papers at international conferences and journals of computer vision and machine learning.
Pascal Van Hentenryck is the Seth Bonder Collegiate Professor at the University of Michigan. He is Professor of Industrial and Operations Engineering, Professor of Computer Science and Engineering, and Core Faculty in the Michigan Institute for Data Science (MIDAS). Prior to that, he led the optimization research group (about 70 people) at National ICT Australia (NICTA) and was Professor of Computer Science at Brown University for about 20 years. Van Hentenryck’s current research is in infrastructure optimization, applying artificial intelligence, data science and optimization to challenging problems in transportation, energy systems, computational social science and disaster management.
Henry Kautz is the Robin & Tim Wentworth Director of the Goergen Institute for Data Science and Professor in the Department of Computer Science at the University of Rochester. He has served as department head at AT&T Bell Labs in Murray Hill, NJ, and as a Full Professor at the University of Washington, Seattle. In 2010 he was elected President of the Association for Advancement of Artificial Intelligence (AAAI), and in 2016 was elected Chair of the AAAS Section on Information, Computing and Communication. His research in artificial intelligence, pervasive computing, and healthcare applications has led him to be honored as a Fellow of the American Association for the Advancement of Science (AAAS), Fellow of the Association for Computing Machinery (ACM), and Fellow of the AAAI. He has received the IJCAI Computers & Thought Award, the Ubicomp 10-Year Impact award, the AAAI Classic Paper award and the IAAI Deployed Application award.