Bruce Schneier is an internationally renowned security technologist, called a “security guru” by The Economist. He is the author of 12 books including Liars and Outliers: Enabling the Trust Society Needs to Survive as well as hundreds of articles, essays, and academic papers. His influential newsletter Crypto-Gram and his blog Schneier on Security are read by over 250,000 people. He has testified before Congress, is a frequent guest on television and radio, has served on several government committees, and is regularly quoted in the press. Schneier is a fellow at the Berkman Center for Internet and Society at Harvard Law School, a program fellow at the New America Foundation’s Open Technology Institute, a board member of the Electronic Frontier Foundation, an advisory board member of the Electronic Privacy Information Center, and the Security Futurologist for BT.
Manolis Kellis is an Associate Professor of Computer Science at MIT, a member of the Computer Science and Artificial Intelligence Laboratory at MIT, and a member of the Broad Institute of MIT and Harvard, where he directs the MIT Computational Biology Group. His group has recently been funded to lead the integrative analysis efforts of the modENCODE project for Drosophila melanogaster, and also for integrative analysis of the NIH Epigenome Roadmap Project. He has received the US Presidential Early Career Award in Science and Engineering (PECASE) for his NIH R01 work in Computational Genomics, the NSF CAREER award, the Alfred P. Sloan Fellowship, the Karl Van Tassel chair in EECS, the Distinguished Alumnus 1964 chair, and the Ruth and Joel Spira Teaching Award in EECS.
Sara Seager is an astrophysicist and planetary scientist at MIT. Her science research focuses on theory, computation, and data analysis of exoplanets. Her research has introduced many new ideas to the field of exoplanet characterization, including work that led to the first detection of an exoplanet atmosphere. Professor Seager’s space instrumentation group is focusing on “ExoplanetSat”, a 3U CubeSat capable of high precision pointing, with the science goal of detecting small transiting exoplanets orbiting bright, sun-like stars. The prototype is intended to be the first of a planned fleet of nanosatellites, aimed to demonstrate the graduated growth of a constellation as a new paradigm for space science missions. In addition to being the PI of ExoplanetSat, Professor Seager is co-leading CommCube, a platform to demonstrate novel small satellite space communication technology, and is involved in the MIT-Harvard REXIS instrument on NASA’s OSIRIS-REx asteroid sample return mission.
Todd Rogers is an Assistant Professor of Public Policy at the Harvard Kennedy School. He is a behavioral scientist whose work bridges the gap between intention and action. Some topics he has studied include the cognitive and social factors that influence election participation (e.g., get-out-the-vote activities informed by psychological insights), and how time-inconsistent preferences can be leveraged to increase support for future-minded policies and choices (e.g., support for environmental legislation, ordering healthier foods, and watching high-brow movies). His recent work develops and tests behavioral science informed interventions in classrooms. - See more at: http://www.tedxcambridge.com/speaker/todd-rogers/#sthash.OfZo1drN.dpuf
Ariel Diaz is the CEO and Co-founder of Boundless, which is an innovative learning platform that makes education more accessible and affordable for college students. He is an experienced entrepreneur with an incredible passion for improving the educational landscape for generations to come. Before Boundless, Ariel co-founded YouCastr, an online video platform that enabled hundreds of high schools to broadcast and sell live sports and other events to parents and the community. In addition, Ariel founded a consumer web consulting company and worked in management consulting in Boston, MA. Ariel holds an A.B., B.E., and Masters of Engineering Management from Dartmouth College, speaks three languages, loves all things orange, and serves as President of the Dartmouth Boston Entrepreneur Network.
Zeynep Ton is an Adjunct Associate Professor of Operations Management at the MIT Sloan School of Management. Ton is currently examining how organizations can design and manage their operations in a way that satisfies employees, customers, and investors simultaneously. Her earlier research focused on the critical role of store operations in retail supply chains. Ton identified operational problems at stores that reduce retail supply chain performance as well as store profits and traced these problems to the design of store processes and the management of store labor.
Deepak Jagdish is a graduate student at the MIT Media Lab whose work focuses on improving the understanding of systems using and developing concepts of complexity, evolution, and network science. Jagdish is a designer and developer interested in creating breakthrough representations of systems ranging from behavioral patterns of cities to biological systems. His undergrad background at DAIICT was a mixture of computer science, signal processing and arts, followed by a Master’s degree in Human-Computer Interaction (HCI) from Georgia Tech. He then worked at Nokia Research building interactive visualizations using large-scale real-time data sets. He is most happy working on multi-disciplinary projects, and usually likes to pick up necessary skills for any project along the way.
Daniel Smilkov is a graduate student at the MIT Media Lab whose work focuses on improving the understanding of systems using and developing concepts of complexity, evolution, and network science. Smilkov received his BSc and MSc in computer science from the University of Ss. Cyril and Methodius in Skopje. While completing his master’s degree, he had an unusual 8-month internship at IBM T.J. Watson Research Center where he worked on routing algorithms for P2P video-conferencing. Later, he took a more interdisciplinary path in the field of network science shifting his interests to mining, modeling, and designing algorithms for large real-world social, technological, and biological networks.