Speakers
This page is updated weekly. Please check back frequently for the latest information.Co-Chairs
Dr. Jerry Oglesby, SASTimothy Rey, The Dow Chemical Company
Keynote Speakers
Bart Baesens, Katholieke Universiteit Leuven (Belgium) and University of Southampton (United Kingdom)Niall Fraser, Open Options Corporation
John MacGregor, McMaster University, Canada
Michael North, Argonne National Laboratory
Petra Perner, Institute of Computer Vision and Applied Computer Sciences
Daniel Thorpe, Wachovia
Session Speakers
Jimmy Cela and WenSui Liu, ChoicePointSven Crone, Lancaster University
Matthew Flynn, ISO and Jun Yan, Deloitte Consulting
Elsa Jordaan, The Dow Chemical Company
Jin-Whan Jung, Jay King, Sanjay Arangala, SAS
Tom Kondrat, Chrysler
Eric Kuo and Larry Lai, Align Technology, Inc.
Arthur Kordon, The Dow Chemical Company
Shihong Li, Choicepoint and Joe Laskos, Genworth Financial
Timothy D. Rey, The Dow Chemical Company
Simon Sheather and Mike Speed, Texas A&M University
Phil Tuchinsky, Tuchinsky BI, LLC and Senior Research Fellow, Central Michigan University Research Corporation
Dirk Van den Poel, Ghent University, Belgium
Herna Viktor, University of Ottawa
Hendrik Wagner, Risk Parameters
Doug Wielenga, SAS
Sanjay Arangala is a Senior Analytical Consultant in the Advanced Analytics Lab (AAL) at SAS. He holds a B.S in Mathematical Sciences and an M.S. in Statistics. For the last year he has been responsible for providing analytical services for the AAL, specializing in fraud detection and credit scoring solutions. He has been an Analytical Consultant at SAS for over 7 years. Prior to joining SAS Mr. Arangala worked as a statistical analyst in credit risk modeling for a large financial services organization.
Dr. Bart Baesens is an assistant professor at the Faculty of Applied Economic Sciences at the K.U.Leuven (Belgium) and the School of Management of the University of Southampton (United Kingdom). He has done extensive research on data mining, credit scoring, and web mining. His findings have been published in well-known international journals and presented at international top conferences. He regularly tutors, advices and provides consulting support to international firms with respect to their data mining and business intelligence policy.
Sven F. Crone is an Assistant Professor in Management Science at the Lancaster University Management School, UK, and deputy director of the Lancaster Research Centre for Forecasting, one of the largest research units in Europe dedicated to predictive modelling. Sven earned his diploma (MBA/M.S. and B.S. equivalent) and a PhD on prediction with neural networks from Hamburg University, Germany, with research fellowships at Stellenbosch Business School, South Africa, and George Mason University, USA. His research focuses on data mining and forecasting in business applications, frequently employing methods from computational intelligence such as neural networks and support vector machines.
Sven has published various articles in international journals and conference proceedings and regularly presents at international conferences, with keynote speeches at SAS F2006 and a track-keynote at APICS 2006. He frequently serves on conference committees, and was the general conference chair of the 2006 International Conference on Data Mining (DMIN) in Las Vegas, USA, where he has remained on the governing board. Sven is also the competition chair of the IEEE?CIS Data Mining Technical Committee (DMTC) and has organised the 2007 Neural Network Forecasting Competition co-sponsored by the IIF, NSF and SAS and chairs the forthcoming 2008 IEEE Competition on Time Series Prediction.
In addition to frequent training courses though the Centre for Forecasting, for the Institute of Business Forecasting and the IEEE Computational Intelligence Society, including the 2005 & 2007 tutorials on neural networks at the IEEE summer school in Chile (EVIC), he regularly consults on corporate projects in predictive analytics. Recent projects include RFM-modelling for British Telecom and AXA Winterthur, Switzerland, credit scoring for Provident, direct marketing for German publisher Gruner & Jahr, weather based forecasting for retailer TESCO, forecasting copper prices with neural networks for CODELCO, Chile, and predicting advertisement ratings for UK television network ITV.
Matthew Flynn is a Research Director with ISO Innovative Analytics. Mr. Flynn has more than 10 years experience in Property and Casualty insurance industry. Mr. Flynn joined ISO in 2007. Since then, Mr. Flynn has been a leading modeler for personal lines and commercial lines predictive modeling projects.
Before joining ISO, Mr. Flynn was an Insurance Solutions Architect for SAS Institute, Inc. for three years. There he advised P&C insurers and financial services users on implementing a variety of SAS platforms and modeling solutions
Prior to joining SAS, Mr. Flynn was a Research Manager and Director for the Hartford Insurance Group (HIG) for more than six years.
Matthew received his Ph.D. in Finance from Purdue University.
He has presented the following articles:
- "Offset Techniques for Predictive Modeling for Insurance" NESUG 2007, Baltimore
- "Different Offset Techniques", presented in 2007 Casualty Actuarial Society Predictive Modeling Seminar
- "Using SAS IOM Commands in JSL" JMPer Cable Issue 16 Winter 2005 Special Scripting Edition
Elsa Jordaan currently works for Dow Chemical in the Netherlands and is a member of the Data Mining and Modeling Group. She joined Dow's R&D Physical Sciences Group in 2003 after completing her Ph.D on Support Vector Machine Regression at the Eindhoven University of Technology in the Netherlands. Elsa also holds a masters diploma in Industrial Mathematics from the Eindhoven University and a B.Sc-degree in Applied Mathematics and Chemistry from the Potchefstroom University in South Africa. She has numerous conference publications on applying SVM, Genetic Programming and Neural Networks in the chemical industry. Her interest also extends to probability-based risk analysis and forecasting.
Jin Whan Jung is an Analytical Consulting Manager in the Advanced Analytics Lab (AAL) at SAS. He has over 20 years of experiences in Analytic Consulting & Strategy. Prior to re-joining SAS in 2006, he served four years as a Vice President of CRM at Samsung Life Insurance, and his team provided analytical supports to Sales, Marketing, Services, and Risk departments within the company. Prior to Samsung Life Insurance, he worked as an Analytical Consultant at SAS and a statistical analyst at UNC Biometric Consulting Lab. He received his PhD degree from University of North Carolina at Chapel Hill in Biostatistics, following his earlier MS and BS degrees in Statistics from Korea University.
Dr. Eric Kuo runs a private orthodontic practice in San Francisco, California (www.SFsmiles.com) and is an Invisalign Premier Provider. He is also the Vice President of Clinical Research and Technology for Align Technology Inc.'s Research and Development department. Dr. Eric Kuo received his orthodontic certificate and Master's degree from UCSF, his DDS degree from UCLA, and his BS degree in Chemistry with Honors from Stanford University. He also received an Executive Management Certificate from Kellogg Northwestern Business School. Dr. Kuo has been giving seminars on Invisalign both in the US as well as internationally since 1999 and was an invited speaker at the annual Invisalign Summit meeting from 2002-2006. Dr. Kuo has authored articles on Invisalign published in the American Journal of Orthodontics, Kieferorthopädie (German), and Progress in Orthodontics. He is also a contributing author to "The Invisalign System Textbook," published in 2006, where he wrote chapters on Invisalign
Attachments: Materials, Overcorrection: Principles and Considerations, and Data Mining: Principles and Considerations.
Jay King is a Senior Analytical Consultant in the Advanced Analytics Lab (AAL) at SAS. He holds a B.S in Mathematics and an M.S. in Applied Mathematics. For the last year he has been responsible for providing analytical services for the AAL, specializing in fraud detection solutions. He has been an Analytical Consultant at SAS for 8 years and has over 15 years of experience in statistical and mathematical consulting. Prior to joining the AAL Mr. King has worked in the Communications Content and Entertainment business unit and was a member of a general group of analytical consultants that provided expertise to SAS customers across all industries.
Arthur Kordon is a Data Mining & Modeling Leader in the Data Mining & Modeling Group in Corporate Work Process and Six Sigma Center, The Dow Chemical Company in Freeport, Texas, USA. He is an internationally recognized expert in applying computational intelligence technologies in industry. Dr. Kordon has successfully introduced several novel technologies for improved manufacturing and new product design, such as robust inferential sensors, automated operating discipline, accelerated fundamental model building, etc. His research interests include application issues of computational intelligence, robust empirical modeling, intelligent process monitoring and control, and data mining. He has published more than 60 papers and 8 book chapters in the area of applied computational intelligence and advanced control. He is a vice-chair of the IEEE Technical Committee on Evolutionary Computation.
Dr. Kordon holds a Master of Science degree in Electrical Engineering from the Technical University of Varna, Bulgaria and a Ph.D. degree in Electrical Engineering from the Technical University of Sofia, Bulgaria.
Larry Lai has over 20 years experience in data mining and customized modeling. He is the Senior Statistician of Clinical Research and Technology for Align Technology. Prior to joining Align Tech, Larry worked for eBay/Paypal Inc., developing the consumer segmentation and high value customer decliner and churn models. Before that, he has experience in industry segments bringing in scoring technology to such companies as Directv and Household Credit Services, and has implemented a real-time scoring system for customer risk management. He was also in charge of developing behavior, attrition and affinity models to improve baseline ROI. Larry also practiced statistical consulting works for healthcare, insurance, manufacturing and research industries in his earlier career. Larry has been teaching courses on "Data Mining and Database Marketing" for the MBA program at Loyola Marymount University in Los Angeles. Larry has been a guest speaker at SAS, M2004 and NCDM. Larry received his Ph.D. degree in
Statistics from UCLA under the stewardship of Charles Stone and Leo Breiman.
Previously, Joe was a VP, Database Management at JPMorganChase in the Consumer Cards Business where he was responsible for the database management of the acquisitions efforts for several different channels: ITA, Prescreen and Balcon.
Joe has ten years experience in numerous roles across DM industries. He has modeled for Retail and Catalog (Blair Inc.), served as a senior Decision Support analyst in the Mortgage industry (Advanta Mortgage), and has managed the Acquisitions Database for a couple of Fortune-500 companies.
Joe holds an M.A. in Mathematics from Hofstra University in New York and a B.S. in Mathematics from Saint Vincent College in Pennsylvania.
Wensui Liu is Senior Marketing Researcher, Database Analytics Group within ChoicePoint Precision Marketing and has over 8 years of experience with statistical modeling and data mining in the financial services, healthcare, and marketing industries. Wensui holds Master of Science Degrees in Applied Statistics and Econometrics from the University of Cincinnati.
John MacGregor received his PhD degree in Statistics, and MSc degrees in both Statistics and in Chemical Engineering from the University of Wisconsin, and his Bachelor of Engineering degree from McMaster University in Canada. After working in industry for several years as a process specialist with Monsanto Company in Texas, he joined the Department of Chemical Engineering at McMaster University in 1972. He currently holds the title of "Distinguished University Professor" and the Dofasco Chair in Process Automation and Information Technology. He is a cofounder of the McMaster Advanced Control Consortium that is sponsored by many international companies and is president of ProSensus, Inc., a spin off company from the consortium.
Dr. MacGregor is a Fellow of the American Statistical Association, and has received many awards for his work in applied statistics and chemometrics, among them, the Shewhart Medal and the W.G. Hunter Award from the American Society for Quality, and the Herman Wold Medal from the Swedish Chemical Society. He is a member of the Royal Society of Canada and the Canadian Academy of Engineering. He has received many awards from engineering societies, among them, the Century of Achievement Award and the Industrial Practice Award from the Canadian Society for Chemical Engineering, the Computing and Systems Technology Award from the American Institute of Chemical Engineers and the Guido Stella Award from the World Batch Forum.
In past years his research focused heavily on advanced process control, and polymer reaction engineering. In more recent years his research has been on the development of multivariate latent variable methods for the extraction and use of information from industrial data for the purposes of process understanding, process monitoring, optimization and control. Specific problems include the monitoring and control of batch processes, the use of digital imaging for process control, and the rapid development of new products.
Michael J. North, MBA, Ph.D. is the Deputy Director of the Center for Complex Adaptive Agent Systems Simulation within the Decision and Information Sciences Division of Argonne National Laboratory and is a Senior Fellow in the Joint Computation Institute of Argonne and the University of Chicago. Dr. North has over fifteen years of experience developing and applying advanced modeling and simulation applications for various branches of the U.S. federal government; state government; several international agencies; private industry; and academia. Dr. North is the lead author of the book "Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation" (Oxford 2007) and has published over forty journal articles and conference papers. Dr. North holds ten college degrees, including a Ph.D. in Computer Science from the Illinois Institute of Technology.
Jerry L. Oglesby holds a Ph.D. in Statistics from Texas A&M University, an M.S. in Mathematics from Lamar
University, and a B.S. in Mathematics from the University of Mississippi. He currently works for SAS as the Director of
Higher Education Consulting and Global Certification within the Education Division. This department is charged with
supporting SAS in the university wide community. It has, as its major goal, the introduction of SAS training materials and
software in the curriculums of courses across many units within the universities. Prior to starting this group, he was
Director of Analytical Consulting within the Professional Services Division. As Director of Analytical Consulting he grew
the Department from its formation to approximately forty modelers and business analysts whose primary function was to
provide analytical support and expertise to SAS' sales force and customers. This group was largely responsible for the
support of the successful launch of SAS' award winning data mining solution, Enterprise Miner.
From 1990 until joining SAS in July of 1996, Jerry was employed by Monsanto Chemical Company as plant statistician and Manufacturing Technologist. He was CEO and founding President of SCI Data Systems from 1977 to 1990. Following completion of his doctorate at Texas A&M in 1971, he was a professor of Statistics at the University of West Florida where he established the Institute for Statistical and Mathematical Modeling for doing analytical and computational consulting for clients on and off campus.
Jerry serves on several advisory boards in support of statistics and data mining:
- Data Mining Advisory Board, College of Arts & Sciences, University of Central Florida
- Central Michigan University Research Corporation, Center for Applied Research & Technology, Central Michigan University
- Center for the Management of Information Systems, Department of Information & Operations Management, Mays Business School, Texas A&M University
- Master of Marketing Research Program, Coca-Cola Center for Marketing Studies, Terry College of Business, University of Georgia
- Institute of Business Intelligence, Department of Information Systems, Statistics, and Management Science, Culverhouse College of Commerce and Business Administration, The University of Alabama
- Department of Statistics & Operations Technology, Daniels College of Business, University of Denver
- Industry Advisory Committee, North Carolina Community College System
- Information Technology Advisory Committee, Pennsylvania College of Technology
- Computer Information Systems Division Advisory Board, Wake Technical Community College
- Decision Sciences & Center for Quality & Productivity Advisory Board, Business Computer Information System, College of Business Administration, University of North Texas
Petra Perner is the director of the Institute of Computer Vision and Applied Computer Sciences IBaI. She received her Diploma degree in electrical engineering and her PhD degree in computer science. She has been the principal investigator of various national and international research projects. She received several research awards for her research work and has been awarded with 3 business awards for her work on bringing intelligent image interpretation methods and data mining methods into business. Her research interest is image analysis and interpretation, machine learning, data mining, image mining and case-based reasoning. Recently, she is working on various medical, chemical and biomedical applications, information management applications, technical diagnosis and e-commerce applications. Most of the developments are protected by legal patent rights and can be licensed to qualified industrial companies. She has published numerous scientific publications and patents and is often requested as a
plenary speaker in distinct research fields as well as across disciplines. Her vision is to build intelligent flexible and robust data-interpreting systems that are inspired by the human case-based reasoning process.
Tim Rey graduated in 1979 with an MS in Forestry Biometrics from Michigan State University. He joined Dow in the summer of 1979 in the Math Applications group in Central Research as a Research Statistician. While in the Math Applications Group, Tim conducted projects, consulted, taught and developed linear statistical methods at most of Dow's North American sites. From there he went on to supervise the Math Applications group in 1985 and then on to manage the Research and Technical Applications group in Central Research in 1987. In 1988 he took on the technical management role for the SimuSolv nonlinear simulation, optimization and estimation commercial software development effort in Dow's Central Research organization. Here he conducted joint research with universities to develop nonlinear statistical methods for experimental design and maximum likelihood estimation. At that time he was also responsible for Dow's Quality program in Central Research. In 1996 Tim moved to Dow's Marketing
and Sales Expertise Center where he led the development of Dow's Customer Loyalty program and was also the lead Marketing Research process owner. In 2005 Tim became the manager of Dow's Data Mining and Modeling group situated in Dow's Six Sigma Expertise Center. Tim has written over 100 internal papers as well as published 15 papers externally. He has delivered numerous talks at various quantitative methods forums.
Professor Simon Sheather is the head of the Department of Statistics at Texas A&M University. Simon's research interests are in the fields of nonparametric and robust statistics. He is also interested in statistical models of wine quality.
Simon has extensive consulting experience, particularly in the application of statistical methods to business situations. He has worked with clients from a range of industries including banking, hospitality, fashion, transport, real estate and consumer products as well as government.
In 2001, Simon was named an honorary fellow of the American Statistical Association. Simon is currently listed on ISIHighlyCited.com among the top one-half of one percent of all mathematical scientists, in terms of citations of his published work.
Simon has served as an Associate Editor of the Journal of the American Statistical Association. In addition, he was the Inaugural Managing Editor and the Theory and Methods Editor of the Australian & New Zealand Journal of Statistics. Simon holds a B Sc (Hons) degree (Melbourne) and a Ph D in Statistics (La Trobe).
Professor Michael Speed is the Director of Online Learning in the Department of Statistics at Texas A&M University. Mike's research interests are in the fields of linear models and the use of technology in the classroom. As the Associate Dean of Technology Mediated Instruction in the College of Science, he assists the University faculty in improving the learning environment by using technology.
Mike has considerable consulting experience, principally in the application of statistical methods to business, environmental and ecological data. He consults with state and federal agencies as well as individuals and corporations.
In 2006, Mike was named a fellow of the American Statistical Association. He received the Shewell and the Jack Youden awards as well as the H. O. Hartley and the W.S. Connor awards. As a NASA engineer, he received the Sustained Superior Performance Award in 1969.
In addition to the usual service activities to the statistical profession, Mike has been very active in the civic and business community. He has held public offices and has worked on committees at the local, state and national levels. Michael holds a BS and MS degree from St. Mary's University in San Antonio and a Ph. D. from Texas A&M University.
Dr. Thorpe has a B.S. in Chemical Engineering and an M.S. and Ph.D. in Statistics, all from the University of Minnesota, where his research and focus was in industrial statistics (design of experiments) and inference in small sample sizes. Upon finishing his Ph.D, he took a job with W.L. Gore and Associates, where his areas of contribution varied across product development, employee engagement and in the financial modeling and forecasting of product demand. During this time, he frequently gave presentations and papers on how the statistical community can more effectively partner and collaborate with their business peers.
When joining Wachovia, Dr. Thorpe's focus turned entirely to generating customer insight from the huge amounts of data and information that Wachovia collects. He and his team partner with Wachovia's Line of Business in modeling customer behavior from targeted marketing campaigns to understanding the value of customer loyalty. He was also the project lead on Wachovia's Innovation team ? whose charter is to understand what Innovation is at Wachovia. Currently he is driving Wachovia's Marketing ROI modeling efforts, where he is partnering with Wachovia's Corporate Marketing team. This effort has led to Wachovia winning the 2006 Pepper's and Roger's Impact Award in Customer Strategy, as well as Dr. Thorpe personally receiving a 1 to 1 Customer Champion Award, which recognizes executives who evangelize the customer cause.
A data miner during his final decade at Ford Motor Company, Tuchinsky specialized in warranty analytics in a highly successful business intelligence group. Ford career highlights include Henry Ford Technology Awards in 1985 and 2000. His vita lists hundreds of internal and external publications and presentations. Tuchinsky also has worked with the Society for Industrial and Applied Mathematics (SIAM) and several Michigan universities on conferences and events that encourage the use of BI technology.
In 2002, Tuchinsky became involved in professional masters-level education in the sciences. He is an industrial advisor to the professional science masters (PSM) degree program in Industrial Mathematics at Michigan State University. He has spoken about the business significance of PSM degrees and the value of hiring PSM graduates in many forums. Tuchinsky serves on the Advisory Board of the Council of Graduate Schools PSM program and is a member of the National Research Council study committee on Enhancing the Master's Degree in the Natural Sciences (report in press). He is also participating in the development of the world's first PSM program in complex adaptive systems, at the University of Michigan.
Tuchinsky completed a B.S. degree in mathematics and physics at Queens College, CUNY in 1966 and M.S. and Ph.D. degrees in applied mathematics at the Courant Institute of Mathematical Sciences, New York University, in 1968 and 1971.
Dirk Van den Poel is professor of marketing modeling at the Faculty of Economics and Business Administration of Ghent University, Belgium. He heads a competence center on analytical customer relationship management (aCRM)/customer intelligence/customer data mining. He received his degree of management/business engineer as well as his PhD from K.U.Leuven (Belgium). His main interest fields are the quantitative analysis of consumer behavior (CRM), data mining (genetic algorithms, neural networks, random forests, random multinomial logit: RMNL), text mining, optimal marketing resource allocation (DIMAROPT) and operations research. He published more than 30 articles in academic peer-reviewed journals including Information & Management, Decision Support Systems, Journal of Business Research, European Journal of Operational Research, Journal of the Operational Research Society,
International Journal of Intelligent Systems and Expert Systems with Applications.
He is a 20+ years SAS user, and has been teaching SAS for the past 10 years in the Master of Marketing Analysis. He has given more than 100+ talks at academic conferences as well as business conferences all over the world.
Herna L. Viktor is an associate professor at the School of IT and Engineering (SITE), University of Ottawa, Canada and the director of the Intelligent Decision Support and Data Analysis Lab (IDeAL) at SITE. Her research focuses on the development of new methodologies for the management and data mining of large-scale object-relational databases and data warehouses. The end results of her research have been applied within the Anthropometry, Health Care and Bioinformatics domains. She holds a Ph.D. in Computer Science from the University of Stellenbosch, which she received in 1999, has published more that 80 international journal and conference articles and is on a number of international programme committees. Her research is sponsored by the Canadian National Science and Engineering Research council (NSERC), Canada Foundation for Innovation (CFI) and the Ontario Network for Research in e-Commerce (ORNEC).
Dr. Hendrik Wagner is a consultant for risk analytics and assists credit risk departments in Europe and globally in moving towards state-of-the-art credit scoring and internal rating systems in order to increase profitability and assure compliance. From April 1998 ? October 2006 he worked as Product Manager Data Mining and Credit Scoring Solutions at SAS Institute EMEA. He holds a Ph.D in Science Informatics from Bielefeld University.
Doug Wielenga graduated from Baylor University with masters degrees in Mathematics and Statistics. He has over 12 years of experience solving customer problems using SAS. He joined SAS as part of the Education division where he developed and taught courses using Enterprise Miner. He then moved to SAS Consulting where he worked directly with customers to design and implement strategies for solving business problems using data mining. More recently, he joined SAS Technical Support where he spends the majority of his time on data mining related activities.