Statistical Discovery from SAS


  • Plenary Speakers
  • Breakout Speakers
  • Panelists
Nate Silver

Conference Keynote: Nate Silver

Founder, and Author, The Signal and the Noise

Nate Silver has been called a “spreadsheet psychic” and “number-crunching prodigy” by New York Magazine. He comes out of the world of baseball statistics, but he turned his sights and his amazing predictive abilities and forecasting models to the game of politics and current events — with incredible results.

Silver, who in the 2012 presidential election predicted the outcome in all 50 states and the District of Columbia, has become the public face of statistical analysis and political forecasting.

He first gained national attention as a leading statistician during the 2008 presidential election, when he correctly predicted the results of the primaries and the presidential winner in 49 states. Today, Silver runs the award-winning political website — named for the total number of votes in the electoral college — where he crunches data, statistical studies, polls, election results, demographics and voting patterns to publish a running forecast of a wide variety of current events, including the UK elections, the US midterm elections, health care reform passage, immigration issues and more. is now published in The New York Times.

Before politics, Silver established his credentials as an analyst of baseball statistics. He developed a widely acclaimed system called PECOTA (Player Empirical Comparison and Optimization Test Algorithm), which predicts player performance, career development, and seasonal winners and losers. He is the author of a series of books on baseball statistics, including Mind Game, Baseball Between the Numbers, and It Ain’t Over ‘til It’s Over. He has written for, Sports Illustrated, Slate and The New York Sun, in addition to The New York Times. His work has been reported in such publications as The New York Times, Newsweek, Huffington Post and Vanity Fair.

His new book is titled The Signal and The Noise: Why Most Predictions Fail — But Some Don’t. Data-based predictions underpin a growing sector of critical fields, from political polling and hurricane watches to the stock market and even the war on terror. That means it’s important to ask: What kind of predictions can we trust? What methods do the most reliable forecasters use? What sorts of things can be predicted — and what can’t? It’s an essential read for anyone interested in how data can be used to understand the future.

Silver has been honored by numerous accolades, from Time’s 100 Most Influential People of 2009 to Rolling Stone’s 100 Agents of Change. won Best Political Coverage in the 2008 Weblog Awards.

Dick De Veaux

Dick De Veaux

C. Carlisle and Margaret Tippit Professor of Statistics, Williams College

Richard D. De Veaux is a Professor in the Department of Mathematics and Statistics at Williams College in Williamstown, MA. An expert in applied statistics, his professional interests include data mining methodology and its application to problems in science and industry, as well as model selection and other problems for large data sets.

De Veaux holds a doctorate in statistics and a master’s degree in education from Stanford University. A summa cum laude graduate of Princeton University, he earned bachelor’s degrees in civil engineering and mathematics.

Before joining the Williams faculty, he served on the faculty at Princeton and at The Wharton School of the University of Pennsylvania. He has also been a visiting research professor at the Institut National de la Recherche Agronomique in Montpellier, France; the Université Paul Sabitier in Toulouse, France; and the Université René Descartes in Paris. In 2006-2007 he was the William R. Kenan Jr. Visiting Professor for Distinguished Teaching at Princeton University.

De Veaux is a Fellow of the American Statistical Association and the author of many research papers. He is co-author, with Paul Velleman and David Bock, of several critically acclaimed textbooks, including Intro Stats and Stats: Data and Models.

John Sall

John Sall

Co-Founder and Executive Vice President, SAS

John Sall is a co-founder and Executive Vice President of SAS, leader in business analytics software and largest independent vendor in the business intelligence market. He also leads the JMP business division, which creates interactive and highly visual data analysis software for the desktop.

Sall joined Jim Goodnight and two others in 1976 to establish SAS. He designed, developed and documented many of the earliest analytical procedures for Base SAS® software and was the initial author of SAS/ETS® and SAS/IML® software. He also led the R&D effort that produced SAS/OR® software, SAS/QC® software and Version 6 of Base SAS.

In the late 1980s, Sall saw a niche that SAS software was not filling. Researchers and engineers — whose jobs didn’t revolve solely around statistical analysis — needed an easy-to-use and affordable stats program. A new software product, today known as JMP®, was launched in 1989 to dynamically link statistical analysis with the graphical capabilities of Macintosh computers. Now running on Windows and Macintosh, JMP continues to play an important role in modeling processes across industries as a desktop data visualization tool. It also provides a visual interface to SAS in an expanding line of solutions.

Sall was elected a Fellow of the American Statistical Association in 1998. He served on the board of The Nature Conservancy (2002-2011), reflecting his strong interest in international conservation and environmental issues. He is a member of the North Carolina State University (NCSU) Board of Trustees. In 1997, Sall and his wife, Ginger, contributed to the founding of Cary Academy, an independent college preparatory day school for students in grades 6 through 12.

He received a bachelor’s degree in history from Beloit College in Beloit, WI, and a master’s degree in economics from Northern Illinois University in DeKalb, IL. He studied graduate-level statistics at NCSU, which awarded him an honorary doctorate in 2003.

Breakout Speakers

Bill Alford, Statistician, Kimberly-Clark Corp.

Bill Alford has been a statistician with several companies, an instructor for research methods and statistics courses, a SAS programmer, and a JMP user for more years than he cares to admit. His recent interest is in using JMP to develop interactive teaching tools to communicate important research and statistical concepts as both a statistician and instructor.

Diana Ballard, Senior Consulting Statistician, Predictum Inc.

Diana Ballard received her MS in statistics from the University of Texas at Austin in 1994. She has worked as a statistician in the semiconductor industry for many years. For the past seven years, she has been consulting and giving statistics training to a broader audience, including human resources, finance, pharmaceuticals, supply chain management, sales, marketing and logistics. Her research interests include design of experiments, including split plot designs, statistical process control, measurement systems analysis, and other areas of industrial statistics.

Clay Barker, JMP Research Statistician, SAS

Clay Barker is a research statistician developer in the JMP group at SAS. He has been involved in the development of a variety of JMP features, including nonlinear modeling and clustering. Barker received a PhD in statistics from North Carolina State University under the direction of Leonard Stefanski and Jason Osborne.    

Michèle Boulanger, Assistant Professor, Rollins College

Michèle Boulanger, PhD, is an Assistant Professor of international business and operations management at Rollins College. Prior to joining Rollins, Boulanger had a multifaceted career as an executive global manager (Vice President of Quality at Motorola), a consultant (President of JISC-Statistics), a researcher (Member of Technical Staff at AT&T Bell Laboratories) and a teacher (University of Rhode Island, Columbia University). Boulanger holds a PhD in applied mathematics from the University of Rhode Island and a master’s degree in statistics from the Institute of Statistics of the University of Paris, France.

David Burnham, Consultant, Pega Analytics

David Burnham has more than 20 years of experience working in the software industry, with a focus on the application of graphical and statistical software applied to problem solving, quality and process improvement. He now runs his own business, Pega Analytics, which is dedicated to providing training and consulting services for JMP software. Burnham holds a degree in physics and a master’s degree in operational research.

Jed Campbell, Quality Manager, US Synthetic

Jed Campbell is a Six Sigma Master Black Belt. He has varied problem solving experience, ranging from process improvement in manufacturing to designing and coaching of experiments in rocket science. Campbell is experienced in lean leadership and work-site transformation, from initial adoption to maturity. Recently, he led an application process culminating in receipt of an enterprise-level Shingo Prize in 2011.

Yves Chandon, Six Sigma Black Belt, Freescale Analog Product Group

Yves Chandon is a Six Sigma Black Belt at the Freescale Analog Product Group in Toulouse, France. He also trains engineers in Europe, the United States and Asia. Chandon received a master’s degree in physics from INSA in Rennes, France. He is the author of 10 papers and started the JMP users group in France, which he stills coordinates.

Amy Cohen, Director of Educational Research and Assessment, Harvard School of Public Health

Amy Cohen, EdM, is the Director of Educational Research and Assessment at the Harvard School of Public Health. She is also an instructor in the Department of Health Policy and Management at HSPH, where she teaches quantitative methods for quality improvement to physicians in the Master of Science in Health Care Management program. Cohen uses JMP for research and to pursue her interest in empowering students, physicians and public health professionals to use data effectively.

Josefino Comiso, Chief Scientist, NASA Goddard Space Flight Center

Josefino Comiso, PhD, is a senior scientist at the Cryospheric Sciences Branch of the Goddard Space Flight Center in Greenbelt, MD, and a well-known climate change scientist.

Brian Corcoran, Director of Software Development for JMP Host Group, SAS

Brian Corcoran is the Director of Research and Development for the JMP Host Group at SAS. This group develops the features of JMP outside of the statistics and visualization platforms. Corcoran is responsible for database access, Excel and SPSS file import, automation and Windows graphics. He is a member of IEEE. Corcoran has a bachelor’s degree in computer engineering from the University of Michigan and a master’s degree in the same subject from Rensselaer Polytechnic Institute.

Michael Crotty, JMP Research Statistician, SAS

Michael Crotty is a research statistician on the JMP statistical development team at SAS. He is the analytical software tester for the bootstrap feature in JMP, as well as most of the reliability platforms in JMP. He received his PhD in statistics in 2006 from North Carolina State University under the direction of Peter Bloomfield.

Stephen W. Czupryna, Consultant, ObDOE

Stephen W. Czupryna is a consultant with ObDOE in Bellingham, WA. He is a certified Lean Six Sigma Black Belt and a certified Level 1 Thermographer.

Richard De Veaux, C. Carlisle and Margaret Tippit Professor of Statistics, Williams College

Richard D. De Veaux is Professor in the department of mathematics and statistics at Williams College in Williamstown, MA.

Joel Dobson, Senior Statistician, Texas Instruments

Joel Dobson is a senior statistician and a Distinguished Member of Technical Staff at Texas Instruments. He presented at the 2012 JMP Summit and the 2005 JMP User Conference.

Marc Fetscherin, Associate Professor, Rollins College

Dr. Fetscherin is an Associate Professor of international business and marketing and a Cornell Distinguished Faculty at Rollins College. He is also an Asia Programs Visiting Scholar at Harvard University. His expertise is in branding, such as product brand management, corporate branding, city and nation branding, human brands, and consumer brand relationships. He has published three books, multiple book chapters and journal articles, which have appeared in Harvard Business Review, International Business Review, International Journal of Market Research, International Marketing Review, European Journal of Marketing, Journal of Brand Management, among others.

Matthew Flynn, Marketing Manager, Aetna

Matthew Flynn, PhD, has been a SAS hacker for many years. Recently he has become an enthusiastic JMP scripter as well. He is excited about the potential uses of the combination of SAS and R code and JMP scripts. With three years as a SAS financial services business unit employee, he is back to happily doing what he does best – building analytic models, currently for Aetna’s marketing analytics.

Jeremy Francis, Data Extraction and Visualization Engineer, Intel

Jeremy Francis earned a bachelor’s degree in electrical engineering, a master’s of industrial engineering, and an MBA at Arizona State University. He has been using JMP for seven years, starting with JMP 5, and has used JSL heavily for six years.

Chris Gotwalt, JMP Director of Statistical Research and Development, SAS

Chris Gotwalt is the Director of Statistical Research and Development at JMP and leads the statistical software development and testing teams. Since joining SAS as a software developer in 2003, Gotwalt has made numerous contributions to JMP, mostly in the area of numerical algorithms and in the creation of new statistical techniques. He developed many of the numerical algorithms that underlie the analytical tools within JMP, including those for linear mixed models, linear and nonlinear optimal designed experiments, neural networks, and reliability modeling. Gotwalt has been leading the statistical development team since 2008. He holds a PhD in statistics from North Carolina State University.

Samuel Hasson, Pharmacology Research Fellow, National Institutes of Health

Sam Hasson is a research fellow at the National Institutes of Health, where he explores new avenues for therapeutic development with high-throughput chemical biology and drug discovery. His current research focus is in Parkinson’s disease biology and the pathologies associated with mitochondrial dysfunction. He is also working to build new technologies and practices to improve the process of early-stage drug discovery.

Michael Hecht, Principal Systems Developer, SAS

Michael Hecht helped create JMP 1.0 in 1989 and every version of JMP since. He currently leads the teams that bring JMP to the Macintosh and Graph Builder to the iPad®.

Roger Hoerl, Assistant Professor, Union College

Roger W. Hoerl is Brate-Peschel Assistant Professor of Statistics in the department of mathematics at Union College in Schenectady, NY.

Ben Huffman, Operations Research Analyst, Bank of America

Ben Huffman is an Operations Research Analyst at Bank of America. He has held various data analytic roles at the bank during the past six years. His education includes a BSBA in Industrial and Operations Management and a minor in Management Information Systems from the University of North Carolina at Charlotte. He has been using SAS and JMP for about a year.

Rima Habre, Postdoctoral Research Fellow, Harvard School of Public Health

Rima Habre, ScD, is a Postdoctoral Research Fellow at Harvard School of Public Health. She has a Doctor of Science degree in Environmental Health. Her research interests include using measurements and models to assess human exposure to air and other pollutants of relevance to public health. She uses JMP in various teaching and research capacities to visualize and analyze data, illustrate concepts and present scientific findings.

Cheryl E. Johnson, Vice President and Operations Research Analyst, Bank of America

Cheryl Johnson joined Bank of America in September 2009 as an operations research analyst in Global Technology and Operations, where she was introduced to JMP software for the first time. She attended her first JMP Discovery Summit in 2012, at which she was a poster presenter. She holds a master’s degree in applied statistics from Rochester Institute of Technology and is certified in Six Sigma and lean methodologies.

Emma Johnson, Business Process Analyst and Statistician, Cypress Semiconductor

Emma Johnson has an MBA degree from the University of Phoenix, a degree in electronics and communications engineering, and has completed 21 units toward a master’s degree in statistics. She has 20 years of experience working with multinational electronics and semiconductor companies. She has worked as a quality assurance engineer, statistical process control engineer, training manager, business process analyst and statistician. Johnson’s expertise is in statistical analysis application in both manufacturing and nonmanufacturing businesses.

Bradley Jones, JMP Principal Research Fellow, SAS

Bradley Jones is a Fellow of the ASA and the Editor-in-Chief of the Journal of Quality Technology. He is the inventor of the Custom Designer and the Prediction Profiler in JMP.

William D. Kappele, President, ObDOE

Bill Kappele is President of ObDOE. He is responsible for course delivery and development.

Andrew T. Karl, PhD, Senior Management Consultant, Adsurgo LLC

Andrew Karl is a senior management consultant for Adsurgo LLC. He has provided data and text mining instruction in R and JMP to US corporate and military clients, as well as to international customers. In addition to issues related to data mining and designed experiments, his research interests include estimation and applications of linear and nonlinear mixed models with complex covariance structures. Karl received his bachelor’s degree in mathematics from the University of Notre Dame and his PhD in statistics from Arizona State University.

Katharina Lankers, Research and Development Scientist, SCHOTT AG

Katharina Lankers, PhD, is an R&D Scientist at SCHOTT AG, a technology-based company developing and manufacturing specialty materials, components and systems. She studied mathematics and physics in Bonn, Stuttgart and Novosibirsk and received her PhD in applied mathematics from the University of Stuttgart. Since 1998 she has been working in the department of mathematical simulation and optimization at SCHOTT, focusing mainly on data-based modeling of production processes. With several years of JSL experience, she develops customized JMP applications and applies data mining methods to a variety of manufacturing problems. Moreover, she enjoys teaching JMP courses for the corporate training program.

Wayne Levin, President, Predictum Inc.

Wayne Levin has worked with a variety of management, engineering and technical staff members to improve their operations by way of applied statistical methods. He founded Predictum Inc. with a goal of improving client operations and accelerating their research through consulting and training on the use of analytical methods and developing software systems to support these efforts.

Don Lifke, Research and Development Engineer, Science and Engineering, Sandia National Labs

Don Lifke is a Research and Development Engineer in the Defect Prevention Engineering group at Sandia National Labs. He is a certified Master Black Belt, and has been using JMP since version 4.

Tonya Mauldin, Senior Analytics Software Tester, SAS

Tonya Mauldin is a senior analytics software tester and has been with SAS for more than 14 years. She is responsible for testing a number of statistical platforms, such as Control Chart Builder, Capability, Distribution, Variability, Choice, Attribute Charts and Measurement Systems Analysis. She has used JMP for 13 years and has used SAS software for 20 years. Mauldin received BS and MS degrees in statistics from North Carolina State University. Prior to joining SAS, she worked as a help desk analyst with Glaxo.

Patricia Dianne McNeill, Head of Fermentation Research, Alder Biopharmaceuticals

Patricia McNeill is responsible for helping to advance Alder's Mab Xpress technology for producing therapeutic antibodies in yeast.

F. Brent Neal, Research Scientist, Milliken & Company

Brent Neal is a senior scientist and section leader at Milliken Research. Recently, he has co-authored the book, Measuring Shape, with John Russ on shape characterization, in which JMP statistical analysis is used extensively.

Martin Owen, Quality by Design Innovation Leader, GlaxoSmithKline

Martin Owen champions experimental design and data visualization and leads new ways of working at GlaxoSmithKline. He chairs the UK JMP Users Group steering committee and is a joint organizer of this year’s Industrial Statistics event at Newton Institute Gateway to Mathematics. Owen is involved in research collaboration with the University of Southampton, exploring efficient strategies for modeling multistage design space. He is also involved with modeling learning programs at three other universities.

Ryan J. Parker, JMP Technical Student, SAS

Ryan Parker is a student statistical developer in the JMP Division of SAS.

Jeff Polzin, JMP Principal Software Developer, SAS

Jeff Polzin is responsible for the support of the JSL programming language and is the developer of the JSL Debugger and Profiler. Previously, he was involved in the SAS development world with the design and implementation of the SAS Core Supervisor, Language Services and the Data Step Language.

Philip J. Ramsey, Owner, North Haven Group, and Professor, University of New Hampshire

Philip J. Ramsey, PhD, has 25 years of experience in applying statistical and quality methods to manufacturing and transactional processes, as well as R&D programs, within such diverse industries and disciplines as aerospace, chemicals, metals, microelectronics, automotive, apparel, construction, nondestructive testing, and general manufacturing. He has 15 years of experience in Lean Six Sigma as a consultant and trainer.

Heath Rushing, Principal Consultant and Co-Founder, Adsurgo LLC

Heath Rushing is principal consultant and co-founder of Adsurgo LLC, an analytics consulting company. A former professor at the US Air Force Academy, he holds a master's degree in operations research from the Air Force Institute of Technology and has used JMP since 2001. After teaching at the Academy, Rushing was a quality engineer and Six Sigma Black Belt in both biopharmaceutical manufacturing and R&D, where he designed and delivered training material in Six Sigma, statistical process control, design of experiments and measurement systems analysis using JMP. In addition, Rushing has been a symposium speaker at both national and international pharma and medical device conferences. He is an American Society of Quality Certified Quality Engineer and teaches JMP courses regularly.

John C. Russ, Professor, North Carolina State University

In his 50-year career as a scientist and educator, John Russ has used image analysis as a principal tool for understanding and characterizing the structure and function of materials. Much of Russ’ research work has been concerned with measuring images to characterize microstructure and surface topography, and he has published several important textbooks on image processing and measurement, including a recent book with former student Brent Neal. Russ is currently assisting in the establishment of a new forensic science laboratory and program at North Carolina State University.

John Salmon, Research Engineer, Aerospace Systems Design Laboratory, Georgia Institute of Technology

John Salmon is a research engineer at the Aerospace Systems Design Laboratory (ASDL) at the Georgia Institute of Technology. He holds a BS and MS in electrical engineering from the University of Calgary and Utah State University, respectively, and a MS in aerospace engineering from the Georgia Institute of Technology. His current research areas include decision-making techniques, operations research and visual analytics.

Paul Sauer, VP of Manufacturing, Igenica

Paul Sauer is Vice President of Process Sciences and Manufacturing at Igenica. He is responsible for the development and manufacture of monoclonal antibodies for use in pre-clinical and clinical oncology studies.

Dan Schikore, JMP Principal Software Developer, SAS

Dan Schikore is a JMP developer specializing in graphics and interfaces. He has more than 15 years of experience developing graphics software, and worked previously with Computational Engineering International and Lawrence Livermore National Laboratory. He holds a PhD in computer science from Purdue University.

Ronald Snee, President, Snee Associates

Ronald D. Snee, PhD, is President of Snee Associates, LLC, based in Wilmington, DE.

Mia Stephens, JMP Academic Ambassador, SAS

Mia L. Stephens is a member of the JMP Academic Team.  Prior to joining JMP, she was an adjunct professor of statistics at University of New Hampshire, and spent 10 years as a Principal Consultant and co-owner of the North Haven Group, a firm specializing in Six Sigma implementation, training and consulting. Stephens has extensive experience in the application of JMP both in industry and academia.

Marianne Toft, Statistician, Novozymes A/S

Marianne Toft is a statistician (with a chemistry background) at Novozymes A/S in Denmark. She graduated from University of Copenhagen with a master’s degree in food science and technology and a PhD in chemometrics and spectroscopy. At Novozymes, her department supports the entire organization through general JMP and statistics support, teaching, and participation in quality projects.

Manny Uy, Principal Staff, Johns Hopkins University Applied Physics

Manny Uy, PhD, is a trained physical chemist and has been a JMP user since JMP 4. He has been active in JMP activities, is a founder of the Mid-Atlantic JMP Users Group, and was a former member of the Discovery Steering Committee.

Daniel Valente, Communications Specialist, SAS

Daniel Valente is a Technical Communications Specialist in the JMP division at SAS. Before joining SAS in 2012, he completed an NIH post-doctoral fellowship at the Boys Town National Research Hospital. Valente holds a PhD in architectural sciences from Rensselaer Polytechnic Institute and has been a longtime JMP user throughout his academic career.

Susan Walsh, Technical Support Statistician, SAS

Susan Walsh is a Technical Support Statistician supporting JMP software. Her expertise includes classical statistical techniques, design of experiments and data mining. She has 20 years of experience teaching mathematics and statistics in higher education and industry. She is also a veteran of the United States Air Force.

Annie Dudley Zangi, Research Statistician Developer, SAS

Annie Zangi currently works as a research statistician developer for JMP. During her 20 years at SAS, she has also worked as a development tester, a technical support statistician, and as a consulting statistician. Before working at SAS, she served four years as a research statistician for the genetics group within the animal science department at Virginia Tech. Her MS is in statistics from Virginia Tech.

A Celebration of Statistics

JMP software from SAS empowers its users with statistical discovery. That's why we're pleased to participate in the International Year of Statistics. Also known as Statistics2013, this year-long event is a worldwide celebration of the contributions of statistics to science, industry, health, business and beyond. In honor of this great occasion, we've asked our esteemed panelists to share their thoughts and stories about the value of statistical methods and statistics as a profession.


Robert Stine, Wharton School, University of Pennsylvania

Robert A. Stine, PhD, Professor of Statistics, The Wharton School, University of Pennsylvania

Robert Stine is Professor of Statistics in The Wharton School of the University of Pennsylvania.  His research spans a variety of areas with practical applications, ranging from forecasting to spatial models to fundamentals of multiple testing and model selection. Recent projects include consideration of methods for selecting factors for predictive models from large databases, with particular relevance to the selection of factors that produce cost-effective decisions. These methods are crucial in the development of predictive models in data mining. Stine’s research has appeared in numerous academic journals, including the Journal of the American Statistical Association, Journal of the Royal Statistical Society, and the Annals of Statistics.  His teaching has been recognized by major awards in both the Wharton MBA and undergraduate programs, and he is the co-author of the textbook, Business Statistics: Decision Making and Analysis.


Marie Davidian, President, ASA

Marie Davidian, PhD, President, American Statistical Association

Currently President of the American Statistical Association, Marie Davidian is also the William Neal Reynolds Professor of Statistics at North Carolina State University (NCSU) and Adjunct Professor of Biostatistics and Bioinformatics at Duke University. She a Fellow of the ASA, the Institute of Mathematical Statistics (IMS), and the American Association for the Advancement of Science, and is an elected member of the International Statistical Institute. Davidian has served as chair of grant review panels for the National Institutes of Health (NIH), as Coordinating and Executive Editor of Biometrics, as a member of US Food and Drug Administration Advisory Committees, and as president of the Eastern North American Region of the International Biometric Society. Davidian received the 2007 Janet L. Norwood Award for outstanding achievement by a woman in the statistical sciences, as well as the 2009 George W. Snedecor Award and the 2011 Florence Nightengale David Award presented by the Committee of Presidents of Statistical Societies.

Kaiser Fung, Author of Numbersense

Kaiser Fung, Author, Numbersense

Kaiser Fung is a professional statistician with more than a decade of experience applying statistical methods to unlocking the relationship between advertising and customer behaviors. His blog, Junk Charts, pioneered the critical examination of data and graphics in the mass media. Since 2005, Junk Charts has received rave reviews from Science magazine, the Guardian, Yahoo!, and Stanford University Libraries. He is also author of Numbersense: How to Use Big Data to Your Advantage and Numbers Rule Your World: The Hidden Influence of Numbers and Statistics on Everything You Do. Fung is a fellow of the Royal Statistical Society and an adjunct professor at New York University, where he teaches practical statistics to professionals. He holds an MBA from Harvard Business School, in addition to statistics and engineering degrees from Princeton and Cambridge Universities.

Bradley Jones, SAS

Bradley Jones, PhD, Principal Research Fellow, JMP Division, SAS

Bradley Jones is the Principal Research Fellow in the JMP division of SAS, where he is responsible for the development of new methods in design of experiments (DOE). He built the JMP Custom Designer, a general and powerful tool for generating optimal experimental designs. He holds a patent on the use of DOE for minimizing registration errors in the manufacture of laminated circuit boards and is the inventor of the prediction profile plot for interactive exploration of multiple input and output response surfaces. Jones is the 2012 recipient of the Statistics in Chemistry award from the American Statistical Association (ASA). In both 2009 and 2012, he received the American Society for Quality’s Brumbaugh Award for the paper making the largest contribution to industrial quality control. He is a Fellow of the ASA.

Denise Lievesley, King's College London

Denise Lievesley, Head of School, School of Social Science and Public Policy, King's College London

Denise Lievesley, one of the United Kingdom's leading social statisticians, is dedicated to campaigning for the evidence-based development of sound public policies in the UK and beyond. Her distinguished career includes posts as founding Chief Executive of the English Health and Social Care Information Centre; Director of Statistics at UNESCO, where she established its new Institute for Statistics; Director of the UK Data Archive; and professor of research methods in the mathematics department at the University of Essex. Most recently, Lievesley was a special adviser to the United Nations African Centre for Statistics and was based in Addis Ababa, Ethiopia. Lievesley has contributed to the formulation of both national and international statistics policy as President of the Royal Statistical Society (1999-2001) and of the International Statistical Institute (2007-9). She is the first and only woman to hold the latter office. She has taught at many institutions and universities throughout the world, including posts at City University London, Durham University and Institut national de la recherche scientifique in Montreal. Lievesley is a Fellow and graduate of University College London and has received an honorary doctorate from City University London. She remains active in the development of social research methods and in research ethics.

Will Potts, Capital One

Will Potts, Vice President of Statistical Analysis, Risk Management Department, Capital One

Will Potts has more than 20 years of experience as a statistical consultant in science and industry. He has been with Capital One for the past seven years, where he develops advanced predictive modeling methods for financial services. Prior to working at Capital One, he was a consultant for Data Miners Inc., a statistical services specialist at SAS, a senior biostatistician at the Cleveland Clinic Foundation, and the co-director of the Biometrical Consulting Service at the Beltsville Agricultural Research Center. Potts is best known to predictive modelers as the developer of several popular training courses on data mining methods using SAS.