We are honored to have assembled a set of judges of this caliber. These leaders in their fields are contributing their expertise to the IBM Watson AI XPRIZE to ensure maximum scientific rigor in guiding this competition.
Jonathan Zittrain


Jonathan Zittrain is the George Bemis Professor of International Law at Harvard Law School and the Harvard Kennedy School of Government, Professor of Computer Science at the Harvard School of Engineering and Applied Sciences, Vice Dean for Library and Information Resources for the Harvard Law School Library, and co-founder and Faculty Director of the Berkman Klein Center for Internet & Society at Harvard University. He has served as a Trustee of the Internet Society and as a Forum Fellow of the World Economic Forum, which named him a Young Global Leader. His book, The Future of the Internet — And How to Stop It, predicted the end of general purpose client computing and the corresponding rise of new gatekeepers.

Antoine Bordes


Dr. Antoine Bordes manages the lab of Facebook Artificial Intelligence Research in Paris. Prior to joining Facebook in 2014, he was a CNRS researcher in Compiegne in France and a postdoctoral fellow in Yoshua Bengio's lab at the University of Montreal. He received his Ph.D. in machine learning from Pierre & Marie Curie University in Paris in 2010, with two awards for best Ph.D. from the French Association for Artificial Intelligence and from the French Armament Agency. Bordes' current interests are centered around natural language understanding using neural networks, with a focus on question answering and dialogue systems. He has published more than 40 papers with more than 4,000 citations.

Danah Boyd


Danah Boyd is the founder and president of Data & Society, a research institute focused on understanding the role of data-driven technologies in society. She is also a principal researcher at Microsoft Research and a visiting professor at New York University. Her most recent books, It's Complicated: The Social Lives of Networked Teens and Participatory Culture in a Networked Age, examine the intersection of everyday practices and social media. She is a 2011 Young Global Leader of the World Economic Forum, a member of the Council on Foreign Relations, a director of both Crisis Text Line and Social Science Research Council, and a Trustee of the National Museum of the American Indian. She received Ph.D. in Information from the University of California, Berkeley.

François Chollet


Francois Chollet is the creator of Keras, one of the most widely used libraries for deep learning in Python. He has been working with deep neural networks since 2012, and has authored a book about them called Deep Learning with Python(Manning Publications). Chollet is currently doing deep learning research at Google, on topics ranging from computer vision to deep learning for formal reasoning and program synthesis.

Mark Crowley


Mark Crowley is an assistant professor in the Department of Electrical and Computer Engineering at the University of Waterloo, and a core member of the Waterloo Institute for Complexity and Innovation. He often works in collaboration with researchers in applied fields such as sustainable forest management, ecology, automotive technology, and medical imaging. In particular, he has worked on learning models of and optimizing policies for domains in invasive species control, forest harvest management, and forest fire management. These types of domains offer unique challenges for traditional artificial intelligence and machine learning algorithms for decision making, prediction, and anomaly detection, and his focus is on developing new algorithms within the fields of Reinforcement Learning, Deep Learning and Random Forests.

Sidney D’Mello


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.

Bistra Dilkina


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.

Peter Eckersley


Peter Eckersley is Chief Computer Scientist for the Electronic Frontier Foundation. His work at EFF has included privacy and security projects such as the Let's Encrypt CA, Panopticlick, HTTPS Everywhere, and the SSL Observatory. In this position he also helped to launch a movement for open wireless networks and fought to keep modern computing platforms open. He helped to start the campaign against the SOPA/PIPA internet blacklist legislation and ran the first controlled tests to confirm that Comcast was using forged reset packets to interfere with P2P protocols. Eckersley holds a Ph.D. in computer science and law from the University of Melbourne.

Madeleine Clare Elish


Madeleine Clare Elish is a cultural anthropologist whose work examines the social impacts of machine intelligence and automation on society. Currently a researcher at Data & Society, she leads the Intelligence and Autonomy Initiative, which develops social science research and insights in order to inform the design, evaluation, and regulation of AI-driven systems. She will complete her Ph.D. in Anthropology from Columbia University in 2017, and previously earned an M.S. at MIT.

Stefano Ermon


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.

Rayid Ghani


Rayid Ghani is the Director of the Center for Data Science & Public Policy and a Senior Fellow at the Harris School of Public Policy and the Computation Institute at the University of Chicago. He started the Eric and Wendy Schmidt Data Science for Social Good Fellowship at the University of Chicago, which trains computer scientists, statisticians, and social scientists from around the world to work on data science problems with social impact. Before joining the University of Chicago, Ghani was the Chief Scientist of the Obama 2012 Election Campaign where he focused on data, analytics, and technology to target and influence voters, donors, and volunteers. Ghani did his graduate work in Machine Learning at Carnegie Mellon University.

Michael Gillam, MD, FACEP


Michael Gillam, MD, FACEP, is CEO of HealthLab, a discovery automation company for "big data" in healthcare, and Athla, a direct-to-consumer company focused on the quantified athlete. Dr. Gillam helped build companies acquired by WebMD and Microsoft, and is a former founding director of the Microsoft Healthcare Innovation Lab, where he also served as a partner-level executive. Through Singularity University, he advises health ministries, Fortune 500 companies, and NGOs regarding their healthcare innovation and data strategies nationally and internationally. He also serves as a data innovations scholar for the MedStar Institutes for Innovation (Mi2) in Washington D.C. He is a physician dual-board certified in emergency medicine and medical informatics, and holds eleven patents in healthcare technology.

Carla Gomes


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.

David Kale


Dave Kale is a Ph.D. candidate in Computer Science and a Viterbi Deans Doctoral Fellow at the USC Information Sciences Institute, supervised by Greg Ver Steeg. Kale's research uses machine learning to extract insights from digital data in high-impact domains, such as healthcare. Recently, he pioneered the application of recurrent neural nets to modern electronic health records and mobile health data. Kale is a co-founder of the Machine Learning for Healthcare Conference (MLHC). Upon graduation, Kale will join Skymind, Inc., as a deep learning engineer where he will continue to build artificial intelligence solutions for pressing real-world problems.

Henry Kautz


Henry Kautz is the Robin & Tim Wentworth Director of the Goergen Institute for Data Science, and a professor in the Department of Computer Science at the University of Rochester. He has served as department head at AT&T Bell Labs and as a full professor at the University of Washington, Seattle. He is a Fellow of AAAS, AAAI, and ACM. His research spans AI, pervasive computing, social media analytics, and healthcare applications.

Albert Kellner, PhD


Dr. Albert Kellner is a broad-based applied physicist, electrical engineer, and research scientist. He is currently a professor at the Scintillon Institute in San Diego, California, where he is leading the development of automated high-resolution optical cytometers for high-throughput biomedical screening. Prior to this, he was a senior scientist at the Sanford-Burnham Medical Research Institute and 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. Dr. Kellner received a B.S. in applied physics from the California Institute of Technology, an MSEE from the University of Maryland, and a Ph.D. in applied physics from the University of California San Diego.

Ivan Laptev


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.

Alex London


Alex John London is the Clara L. West Professor of Ethics and Philosophy and Director of the Center for Ethics and Policy at Carnegie Mellon University. Professor London is an elected Fellow of the Hastings Center whose work focuses on ethical and policy issues surrounding the development and deployment of novel technologies in medicine, biotechnology, and artificial intelligence.  His papers have appeared in Mind, Science, JAMA, The Lancet, PLoS Medicine, Statistics In Medicine, The Hastings Center Report, and numerous other journals and collections. He is co-editor of Ethical Issues in Modern Medicine, one of the most widely used textbooks in medical ethics.

Julien Mairal


Julien Mairal is a research scientist at Inria. He received a graduate degree from Ecole Polytechnique, France, in 2005, and a Ph.D. from Ecole Normale Superieure, Cachan, France, in 2010. He spent two years as a post-doctoral researcher in the statistics department of UC Berkeley, before joining Inria in 2012. His research interests include machine learning, computer vision, mathematical optimization, and statistical image and signal processing. In 2013, he received the Cor Baayen prize, awarded every year by ERCIM to a promising young researcher in computer science and applied mathematics. In 2016, he received a Starting Grant from the European Research Council (ERC), and he received the IEEE PAMI young researcher award in 2017.

Risto Miikkulainen


Risto Miikkulainen is a Professor of Computer Science at the University of Texas at Austin and a Fellow at Sentient Technologies, Inc. He received an M.S. in Engineering from the Helsinki University of Technology, Finland, in 1986, and a Ph.D. in Computer Science from UCLA in 1990. His recent research focuses on methods and applications of neuroevolution, as well as neural network models of natural language processing, and self-organization of the visual cortex. Miikkulainen is author of over 370 articles in these research areas. He is on the Board of Governors of the International Neural Network Society, an action editor of Cognitive Systems Research, and an associate editor of IEEE Transactions on Computational Intelligence and AI in Games.

Robin Murphy


Robin Murphy is the Raytheon Professor of Computer Science and Engineering at Texas A&M University and director of the TEES Center for Robot-Assisted Search and Rescue. She helped found the fields of disaster robotics and human-robot interaction, concentrating on developing human-centered AI for small ground, air, and marine robots. Murphy has deployed robots to over 25 disasters in five countries, including the 9/11 World Trade Center, Hurricane Katrina, and Fukushima, but her research also includes preparedness and prevention of disasters. Murphy's contributions to computing have been recognized with the ACM Eugene L. Lawler Award for Humanitarian Contributions.

Evan D. Muse, MD, PhD


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.

Barry O’Sullivan


Barry O'Sullivan (Ph.D., FEurAI, MRIA) is a professor at the Department of Computer Science in University College Cork. He is a founding director of the Insight Centre for Data Analytics, and serves as the current Deputy President of the European Artificial Intelligence Association, the largest AI association in the world. He was the 2016 Science Foundation Ireland Researcher of the Year. O'Sullivan is the author of more than 250 peer-reviewed scientific publications, and has co-established and co-edits with Professor Michael Wooldridge (Oxford), and Springer's book series on Artificial Intelligence: Foundations, Theory, and Algorithms. He is a well-known public speaker, commentator, and consultant on artificial intelligence.

Nicolas Papernot


Nicolas Papernot is a Ph.D. student in Computer Science and Engineering working with Dr. Patrick McDaniel at Pennsylvania State University. His research interests lie at the intersection of computer security, privacy and machine learning. He is supported by a Google Ph.D. Fellowship in Security. His work on private machine learning was recognized with a best paper award at the ICLR 2017 conference. Papernot is also a co-author of the CleverHans blog and open-source library. In 2016, he received his M.S. in Computer Science and Engineering from Pennsylvania State University, and his M.S. in Engineering Sciences from the Ecole Centrale de Lyon.

Florent Perronnin


Florent Perronnin is a Director of Science at Naver Labs Europe. His role involves the scientific coordination of the lab's research activities around Artificial Intelligence (AI) including machine learning, computer vision, and language technologies. In the past he has held various positions at Panasonic, Xerox, and more recently at Facebook where he was the founding Director of the AI team in Paris. His research has found applications in several business verticals including Business Process Outsourcing (BPO), Transportation, Retail, and Communication and Marketing, and has won several awards in public competitions such as PASCAL VOC, ImageNet, and ImageClef.

Gabriel Skantze


Gabriel Skantze is an Associate Professor in Speech Technology at KTH Royal Institute of Technology in Stockholm, Sweden. His primary research interests are in multi-modal real-time dialog modeling, speech communication, and human-robot interaction, and is currently leading several research projects in these areas. He is also co-founder of the company Furhat Robotics, which develops conversational social robots to be used in, for example, education, public spaces, and healthcare applications.

Bill Smart


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.

Danielle Tarraf


Danielle C. Tarraf is an Information Scientist at the RAND Corporation. Her research interests are in control theory, particularly as it interfaces with theoretical computer science, machine learning, and optimization, with motivating applications in autonomy as well as defense strategy and technology. She was previously on the Electrical and Computer Engineering faculty at Johns Hopkins, and has been a visiting/summer faculty fellow at the Air Force Research Lab. She is the recipient of multiple awards, including an NSF CAREER award in 2010 and an AFOSR Young Investigator award in 2011. She received her Ph.D. from MIT in 2006.

Graham Taylor


Graham Taylor is an associate professor at the University of Guelph where he leads the Machine Learning Research Group. He is the academic director of NextAI, a non-profit initiative to establish Canada as the AI hub for research, venture creation, and technology commercialization, and is a member of the Vector Institute for Artificial Intelligence. He was recently selected by the Canadian Institute for Advanced Research (CIFAR) as one of two Azrieli Global Scholars appointed to the Learning in Machines and Brains Program, which is an international competition recognizing excellence in research and leadership. Professor Taylor has trained more than 45 students and staff members since appointment, and has advised many organizations internationally.

Pascal Van Hentenryck


Pascal Van Hentenryck is the Seth Bonder Collegiate Professor of Engineering at the University of Michigan. He is professor of Industrial and Operations Engineering, professor of Computer Science and Engineering, and core faculty at 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 a professor of Computer Science at Brown University for about 20 years. Van Hentenryck's current research is in infrastructure optimization, and his past research focused on the design and implementation of constraint programming and optimization systems, several of which have been in commercial use for more than 20 years.

Erin Walker


Erin Walker is an assistant professor in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. She is currently working on various projects that attempt to incorporate social and contextual adaptation into learning technologies, including implementing a teachable robot for mathematics learning and re-imagining the design of the digital textbook. Prior to January 2013, Walker was a Computing Innovations Postdoctoral Fellow at Arizona State University. She completed her Ph.D. in 2010 at Carnegie Mellon University in Human-Computer Interaction and her B.Sc. (Honors) from the University of Manitoba in 2004. Walker's work has resulted in ten journal articles and twenty peer-reviewed, full conference papers, earning her a best young researcher's track paper award at AIED and best paper nominations at ITS, CSCL, and AIED.

Xiaoyang Wang


Xiaoyang Wang received his B.S. and M.S. degrees from Tsinghua University, Beijing, China, in 2007 and 2010 respectively. He received his Ph.D. from Rensselaer Polytechnic Institute, Troy, NY in May 2015. Since June 2015, he has been working in Nokia Bell Labs, Murray Hill, NJ as a Video Analysis and Coding Researcher. His research interests include video analytics and understanding, object recognition, context modeling, probabilistic graphical models, machine learning, and deep learning. He won the ICPR Piero Zamperoni Best Student Paper Award in 2012 and is a member of the IEEE.

Adam Cheyer


Adam Cheyer is co-Founder and VP Engineering at Viv Labs, a startup (recently acquired by Samsung) dedicated to creating an intelligent interface to everything. Previously, Adam was co-founder and VP Engineering at Siri, Inc, and after Siri was acquired by Apple, a Director of Engineering in the iOS group. Adam also was a co-founder of Sentient.ai (massively scalable machine learning) and a founding member of Change.org (world's largest petition platform). Adam is the author of more than 60 publications and 25 patents.

David Danks


David Danks is the L.L. Thurstone Professor of Philosophy & Psychology, and Head of the Department of Philosophy, at Carnegie Mellon University. He has used a range of interdisciplinary approaches to address the human and social impacts when autonomous capabilities are introduced into technological systems, whether self-driving cars, autonomous weapons, or healthcare robots. Danks has actively collaborated with multiple industry groups and government agencies. His earlier work on computational cognitive science resulted in his book, Unifying the Mind: Cognitive Representations as Graphical Models, which developed an integrated cognitive model of complex human cognition. Danks is the recipient of a James S. McDonnell Foundation Scholar Award (2008), and an Andrew Carnegie Fellowship (2017).

Round 1 Judges


Eric Van Gieson, PhD


Dr. Eric Van Gieson has served as the Chief Technology Officer at the National Strategic Research Institute (NSRI, a STRATCOM UARC), and as Director of Biosurveillance and Diagnostics at MRIGlobal. He has also held the position of Chief of the Diagnostics, Disease Surveillance, and Threat Detection Division within the Defense Threat Reduction Agency (DTRA), with additional experience at JHU/APL as a program manager. Dr. Van Gieson has a Ph.D. in Biomedical Engineering and a B.S. in Chemical Engineering from the University of Virginia. Most recently, Dr. Van Gieson served as the chief judge on the Nokia Sensing XChallenge and a judge on the Qualcomm Tricorder XChallenge on behalf of the XPRIZE Foundation.

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