Speakers
Title: Why Data Science?
Stanley C. Ahalt, PhD
Director, Renaissance Computing Institute (RENCI)
Professor of Computer Science, University of North Carolina at Chapel Hill
Biographical Sketch: Stanley C. Ahalt, PhD, is director of the Renaissance Computing Institute (RENCI), professor of computer science at the University of North Carolina at Chapel Hill, and the head of the Biomedical Informatics Service for the North Carolina Translational and Clinical Sciences Institute (NC TraCS). As director of RENCI, he was instrumental in launching two major data science initiatives: The National Consortium for Data Science (NCDS), a public-private partnership to advance the field of data science and address big data challenges and opportunities in research and business; and the iRODS Consortium, an international group aimed at sustaining the popular integrated Rule-Oriented Data System (iRODS) as enterprise-quality software. Dr. Ahalt is PI on the Water Science Software Institute, a U.S. National Science Foundation project to prototype an integrated platform for sharing, using, and managing data across water science fields. Other leadership roles include past chair of the Coalition for Academic Scientific Computing, former co-chair of the Ohio Broadband Council, extramural member of the National Cancer Institute’s Advanced Biomedical Computing Center’s Oversight Committee, and member of the Council on Competitiveness High Performance Computing Advisory Committee. He has authored or co-authored more than 120 technical papers and been principal investigator or co-principal investigator on research grants totaling more than $17 million. His recent research publications have focused on decoupling data through encryption. Before coming to RENCI in 2009, Dr. Ahalt was executive director of the Ohio Supercomputer Center from 2003 - 2009 and a professor in the department of electrical and computer engineering at The Ohio State University for 22 years. He holds a PhD in electrical and computer engineering from Clemson University and master’s and bachelor’s degrees in electrical engineering from Virginia Polytechnic Institute and State University.
Abstract: Data is has become the central driving force of key to insight, governance, science new discoveries in science, informed governance, insight into society, improved healthcare, and economic growth in the 21st century. Abundant data is a direct result of innovations including the Internet, faster computer processors, cheap storage, and the proliferation of sensors. Further, abundant data has the potential to improve healthcare, increase business productivity, and enable scientific discovery. However, while data is abundant and everywhere, we do not have an understanding of data at a fundamental level. We are still struggling struggle to develop ways to value, manage and interpret data that grows every day. We believe that the reason for this is that data - as a field of research - has not been subjected to systematic scientific analysis. In this talk Stanley C. Ahalt, PhD, will argue that data has become so critical to innovation and discovery that we must approach it the same way we approach other scientific disciplines. We must develop a data science: a systematic study of the structure and behavior of physical and natural data through both observation and experimentation. Dr. Ahalt will discuss how we can begin to understand the economics and mathematics of data and what this means for data scientists. He will also discuss the need to develop methodologies for measuring the value of data, and organizations that have been founded to advance the field of data science, such as the U.S.-based National Consortium for Data Science.
Title: Big Data and High Performance Computing
Barry Bolding, PhD
Vice President of Cray Inc.
Biographical Sketch: Dr. Barry Bolding has over twenty-five years of experience in HPC as a scientist, applications specialist, systems architect, and over the past five years has served in several executive roles at Cray Inc., including VP of Scalable Systems, VP of Marketing and VP of Storage and Data Management. Dr. Bolding received his Ph.D. from Stanford University, and has published numerous papers in the area of computational modeling of physical and chemical systems. Dr. Bolding has worked for a number of leading HPC companies, including Cray Research, SGI, Network Computing Services, Tera Computer Corporation, IBM and Cray Inc. Dr. Bolding has wide-ranging understanding of HPC architectures and storage including the Cray XT/XE/XK and XC product families, IBM BlueGene and IBM-Power architectures and cluster architectures. Dr. Bolding understands HPC requirements and needs from customers in a wide range of segments, including government, higher education and commercial HPC markets. This diverse background allows Dr. Bolding to have a unique and balanced perspective on future systems development and how scientists, applications specialists, developers, and administrators use modern HPC systems and how customers weigh the performance and total cost of ownership against datacenter, engineering and business realities they face.
Dr. Russ Biagio Altman
Kenneth Fong Professor of Bioengineering, Genetics, Medicine and, by courtesy, of Computer Science
Stanford University
Biographical Sketch: Dr. Russ Biagio Altman is a professor of bioengineering, genetics, & medicine (and of computer science, by courtesy) and past chairman of the Bioengineering Department at Stanford University. His primary research interests are in the application of computing and informatics technologies to basic biological problems relevant to medicine. He is particularly interested in methods for understanding drug action at molecular, cellular, organism and population levels. His lab studies how human genetic variation impacts drug response (e.g. http://www.pharmgkb.org/). Other work focuses on the analysis of biological molecules to understand the action, interaction and adverse events of drugs (http://features.stanford.edu/). He leads one of seven NIH-supported National Centers for Biomedical Computation, focusing on physics-based simulation of biological structures (http://simbios.stanford.edu/). Dr. Altman holds an A.B. from Harvard College, and M.D. from Stanford Medical School, and a Ph.D. in Medical Information Sciences from Stanford. He received the U.S. Presidential Early Career Award for Scientists and Engineers and a National Science Foundation CAREER Award. He is a fellow of the American College of Physicians, the American College of Medical Informatics, and the American Institute of Medical and Biological Engineering. He is a member of the Institute of Medicine of the National Academies. He is a past-president, founding board member, and a Fellow of the International Society for Computational Biology, and the President-Elect of the American Society for Clinical Pharmacology & Therapeutics. He currently chairs the Science Board advising the FDA Commissioner. He is an organizer of the annual Pacific Symposium on Biocomputing (http://psb.stanford.edu/), and a founder of Personalis, Inc. He won the Stanford Medical School graduate teaching award in 2000.
Title: Future of Data Intensive Applications
Milind Bhandarkar
Biographical Sketch: Milind Bhandarkar was the founding member of the team at Yahoo! that took Apache Hadoop from 20-node prototype to datacenter-scale production system, and has been contributing and working with Hadoop since version 0.1.0. He started the Yahoo! Grid solutions team focused on training, consulting, and supporting hundreds of new migrants to Hadoop. Parallel programming languages and paradigms has been his area of focus for over 20 years. He worked at the Center for Development of Advanced Computing (C-DAC), National Center for Supercomputing Applications (NCSA), Center for Simulation of Advanced Rockets, Siebel Systems, Pathscale Inc. (acquired by QLogic), Yahoo! and Linkedin. Currently, Milind Bhandarkar is the Chief Scientist at Pivotal, a new EMC joint venture with VMware that includes the Greenplum, Pivotal Labs, SpringSource, Cloud Foundry and Cetas business lines. Pivotal is building big data infrastructure that can handle next-generation workloads. Milind Bhandarkar holds his Ph.D. degree in Computer Science from the University of Illinois at Urbana-Champaign.
Abstract: “Big Data” is a much-hyped term nowadays in Business Computing. However, the core concept of collaborative environments conducting experiments over large shared data repositories has existed for decades. In this talk, I will outline how recent advances in Cloud Computing, Big Data processing frameworks, and agile application development platforms enable Data Intensive Cloud Applications. I will provide a brief history of efforts in building scalable & adaptive run-time environments, and the role these runtime systems will play in new Cloud Applications. I will present a vision for cloud platforms for science, where data-intensive frameworks such as Apache Hadoop will play a key role.
Title: Enabling Cloud Analytics for Big-Data Security and Intelligence
Kai Hwang
Biographical Sketch: Kai Hwang is a Professor of EE/CS at the University of Southern California (USC). He is also an EMC-endowed visiting Chair Professor at Tsinghua University. He received the Ph.D. from University of California, Berkeley in 1972. He has published 8 books and over 220 scientific papers in computer architecture, parallel processing, distributed systems, cloud computing and network security. His books have been adopted worldwide and translated into Chinese, Korean, Spanish, and German languages. His works have been cited more than 12,000 times with an h-index of 48. His latest book: Distributed and Cloud Computing was published by Kaufmann in 2012. Dr. Hwang was recognized with an IEEE Fellow in 1986. He received the very-first 2004 CFC Outstanding Achievement Award, the IPDPS-2011 Founder’s Award, and the Lifetime Achievement Award from the IEEE Cloud2012 for his pioneering work in parallel computing and distributed systems. He has served as the founding Editor-in-Chief of the Journal of Parallel and Distributed Computing for 28 years. He has produced numerious Ph.D students at Purdue University and at USC. Five of his former Ph.D students are elected IEEE Fellows and IBM Fellow. He has delivered three dozens of keynote addresses on advanced computing systems and cutting-edge information technologies in major IEEE/ACM Conferences. Hwang has performed advisory, consulting and collaborative work for IBM, Intel, MIT Lincoln Lab, JPL at Caltech, ETL in Japan, Academia Sinica in China, GMD in Germany, and INRIA in France. He can be reached via Email: [email protected].
Abstract: In this talk, Dr. Hwang addresses the growing interest in big-data science surrounding the use of cloud analytics, social networks and Internet of things (IoT). He will assess critical issues to upgrade big-data analysis, privacy and cloud security. The purpose is to achieve enhanced ubiquity, mobility, security, scalability and quality of service (QoS) of clouds and highly-visited social networks or datacenters. In particular, he will evaluate the widespread use of clouds over massive datasets generated by e-business, social networks, sensors, RFID, GPS, etc. His talk reveals major R/D challenges and presents new approaches to preserving data privacy, assuring cloud security, and enhacing cyber intelligence. To remove the security and trust barriers in baer-metal or virtual clouds, he examines the top-10 security and privacy issues released by Cloud Security Alliance in 2012. Some new approaches and hidden opportunities are discussed towads the building of a trusted and intelligent cloud computing environment over both structured and unstructured big datasets. Finally, he compares the security and capability in BYOD (Bring Your Own Devices) solutions with those offered by the new BYOC (Bring Your Own Clouds) approach for inter-cloud (mashup) applications.
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Title: A Building Code for Building Code
Carl Landwehr
Carl Landwehr has been a leader in cyber security research and development since the late 1970s. Following an active research career at the Naval Research Laboratory, he led the National Science Foundation’s efforts to establish and build national research programs in Trusted Computing, Cyber Trust, Trustworthy Computing and Secure and Trustworthy Cyberspace. He helped DARPA develop its programs in Information Assurance and served on its ISAT advisory group. At IARPA, he initiated programs to develop and apply concepts of information flow analysis, automated software analysis and private information retrieval that continue to produce results. Professionally, he served four years as editor-in-chief of IEEE Security and Privacy Magazine. He was an early chair of the IEEE Technical Committee on Security & Privacy and has chaired the IEEE Symposium on Security & Privacy. He was the founding chair of IFIP WG11.3 on Data and Application Security, and is an active member of IFIP WG10.4 on Dependability and Fault Tolerance. In the past two years he has served as an advisor on cybersecurity research and software engineering education programs to the governments of Australia and Israel, respectively, as well as two major US laboratories. He was made an IEEE Fellow for his contributions to cybersecurity and was in the first class of 11 individuals inducted into the National Cyber Security Hall of Fame in 2012. Other awards include the NSF Director’s Award for Meritorious Service, IEEE’s Distinguished Service Award, ACM SIGSAC’s Outstanding Contribution Award. At present, He is an independent consultant and a Lead Research Scientist at the Cyber Security Policy and Research Institute at George Washington University, as well as a member of the NSF-funded Trustworthy Health and Wellness (THaW) research project, led by Dartmouth University and including Johns Hopkins University, University of Illinois, University of Michigan, and Vanderbilt.
Abstract: Cyberspace, though it has a physical reality of computers and communication channels, sensors and actuators, is in fact made real mostly by the programs that control those things. Today, systems of programs control most of our critical infrastructures. Metaphors are frequently used as a way to communicate to people what these programs are intended to do. Workers in cybersecurity have adopted many rich metaphors: Trojan Horse, virus, worm, firewall, and more. Difficulties arise when the metaphor blinds us to the underlying reality. The talk examines critically several common cybersecurity metaphors and proposes the adoption of a new (or at least underutilized) one, that of a building code for critical infrastructure software, as a means of putting what we have learned in forty years of system development experience into practice.
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Title: Big Data and The Customer Decision Journey
Matt Hertig
Matt Hertig is the Co-Founder of Alight Analytics, an independent marketing analytics firm based in Kansas City, Missouri. Under his leadership, Alight has developed an industry-leading marketing analytics platform, ChannelMix, which has established Alight Analytics at the cutting edge of multi-channel marketing analytics. Prior to founding Alight Analytics, Matt built an extensive background in CRM, database marketing, web strategy and business intelligence by serving as an executive leading multi-million dollar database marketing systems and multi-channel web strategies at companies such as AMC Theatres, American Century Investments and Payless ShoeSource.
Abstract: Understanding the paths customers take to making a decision has never been more important. The marketing channel interactions customers utilize in their journey to make decisions represent a Big Data gold mine of information for organizations to maximize customer acquisition and retention efforts. In this session, learn how to establish your customers’ journey, determine what data is needed and how to leverage this Big Data strategy to maximize marketing and sales resources.
Panel on “Big Data”
Rebecca D. Costa is a sociobiologist and author who offers an evolutionary explanation for current events and emerging trends. A new voice in the mold of Alvin Toffler, Thomas Friedman and Malcolm Gladwell, Costa attributes modern consternation - from terrorism, crime on Wall Street, epidemic obesity and upheaval in the Middle East - to genetic imperatives. Retiring from a career in Silicon Valley, Costa spent six years researching and writing The Watchman’s Rattle: A Radical New Theory of Collapse. The success of the book in 25 countries led to a weekly nationally syndicated radio news program called The Costa Report. Costa is presently represented by Kneerim, Williams & Bloom, the Scott Meredith Literary Agency, the American Program Bureau, VoiceAmerica, the Genesis Communications Network and Global American Broadcasting Network.
Steve Beier
Steve is an experienced corporate entrepreneur with over 18 years in the computer industry. He is a program director of big data at IBM software group. He currently works for IBM Software Group focused on their Big Data product portfolio. IBM’s core Big Data portfolio includes InfoSphere BigInsights, InfoSphere Streams and the acquisition products from Netezza and Vivisimo. He works closely with customers and partners in the field who are looking to design and build applications that solve complex problems by utilizing IBM’s Big Data products.
Steve has also spent years dealing with the issues of Sensor Information Management at massive scale. He was one of the IBM “co-founders” who led the creation of IBM’s Radio Frequency IDentification and Supply Chain Traceability software products and related global standards. Steve received his BS from the University of California, San Diego (UCSD), studied Management Science and Engineering (MS&E) at Stanford University and has an MS in Technology Commercialization from the University of Texas at Austin, Red McCombs School of Business.
Guy Kawasaki
Guy Kawasaki is a special advisor to the Motorola business unit of Google. He is also the author of APE, What the Plus!, Enchantment, and nine other books. Previously, he was the chief evangelist of Apple. Kawasaki has a BA from Stanford University and an MBA from UCLA as well as an honorary doctorate from Babson College.
Forrest Melton
Forrest Melton is a Senior Research Scientist in the Division of Science and Environmental Policy at California State University, Monterey Bay, and the NASA Ames Cooperative for Research in Earth Science and Technology (ARC-CREST). Since 2003, he has worked in the Ecological Forecasting Lab at NASA Ames Research Center on the development of modeling and data assimilation frameworks including the Terrestrial Observation and Prediction System (TOPS) and the NASA Earth Exchange (NEX). His research interests include ecosystem and carbon cycle modeling, and applications of satellite data, ecosystem models, and high performance computing to improve management of natural resources. Forrest holds B.S. and M.S. degrees in Earth Systems Science from Stanford University, and he has authored numerous papers and book chapters on applications of remote sensing. He is the recipient of honor awards from NASA for his contributions to TOPS and NEX, and has been recognized for his work on applications of satellite data for water management with awards from the California Department of Water Resources and the Federal Labs Consortium for Technology Transfer.
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