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M2002 Speakers Scheduled to Present
Co-Chairs
- Will Potts, Data Miners
Anne Milley, SAS
Keynote Speakers
- Robert Blattberg, Kellogg School of Management, Northwestern University
Gordon Linoff, Data Miners
Foster Provost, NYU Stern School of Business
Ed Wegman, George Mason University
Session Speakers
- Gabrielle Bedewi, Sigma Marketing
- John Brocklebank, SAS
Scott Carl, Tricision Inc.
Marc Cohen, SAS
Randy Collica, Hewlett-Packard
David Duling, SAS
Yoav Freund, Banter, Inc.
Arnold Goodman, Center for Statistical Consulting at the University of California, Irvine
Michael Hardin, Culverhouse College of Commerce and Business Administration, University of Alabama
Daymond Ling, Canadian Imperial Bank of Commerce
Gordon Linoff, Data Miners
Victor Lo, Fidelity Investments
Bill MacReady, NASA's Ames Research Center
Ed Malthouse, Northwestern University
Brij Masand, Data Miners
Gregor Meyer, IBM
Alan Montgomery, Carnegie Mellon University
Bruce Ratner, DM STAT-1 CONSULTING
Richard Roach, SAS
Jaideep Srivastava, University of Minnesota
Andrew Storey, Scotiabank, Toronto
(This is only a partial list as speakers are currently being finalized.
Please visit again soon.)
~~~~~~~~~~~
Gabrielle Bedewi is Director of Knowledge
Mining for SIGMA Marketing Group in Rochester, NY. Her primary
responsibility involves the development of successful, actionable CRM and
retention programs for many Fortune 100 and 500 companies - including Bank
One, General Motors, Proctor & Gamble, The Home Depot, and Xerox - that
increased client ROI by multiple millions of dollars per year.
Gabrielle has over 20 years of teaching and business experience in
statistical modeling, analysis, segmentation systems, and market research.
Prior to joining SIGMA, Gabrielle served as the Director of Statistical
Modeling at Claritas in Arlington, Virginia. She designed and managed the
data processing and analysis of statistical databases that enhanced the
efficiency and improved the processing capabilities of Claritas' retail and
financial consumer potential projections. In addition, she served as a
Senior Consultant for Price Waterhouse.
An accomplished speaker and presenter, Gabrielle has shared numerous best
practices papers with her industry colleagues. Some of her more recent
work includes "How to Build a CRM Solution" presented at SAS Institute's
CRM Executive Conference and "Database Marketing in Today's Competitive
Environment", presented at the University of Rochester's School of
Business.
Gabrielle earned a Ph.D. in Management Sciences and Statistics from the
University of Maryland, and a B.A. in Applied Statistics and Insurance from
Kuwait University. Gabrielle's teaching experience includes undergraduate-
and graduate-level classes in statistics and database marketing as a
visiting professor at American University, Rochester Institute of
Technology and the University of Maryland.
~~~~~~~~~~~
Robert Blattberg is the Polk Brothers
Distinguished Professor of Retailing and the Director of the Center for
Retail Management at the Kellogg School of Management at Northwestern
University. Previously he was the Charles H. Kellstadt Professor of
Marketing and the Director of the Center for Marketing Information
Technology at the University of Chicago, where he taught from 1969-1991.
His areas of research include database marketing, retailing, customer
equity, and sales promotion. He has won numerous professional and teaching
awards including the Robert C. Clarke Award as the Direct Marketing
Association's Educator of the Year in 1990. His paper, "Price-Induced
Patterns of Competition," written jointly with Kenneth Wisniewski, was
awarded the John D.C. Little Award as the Best Marketing Science and
Management Science Paper of the Year.
Blattberg received his BA in Mathematics from Northwestern University and
his MS and PhD degrees from Carnegie-Mellon University.
~~~~~~~~~~~
John Brocklebank is the director of ASP
Research and Development at SAS. He is responsible for the development of
SAS IntelliVisor, the SAS ASP offering centered around analytical CRM.
Components of this application include Strategy, Data Mining,
Personalization and Reporting. He was the initial product development
director for Enterprise Miner Software and Manager of Statistical Training
in the Education department of SAS where he taught and managed the
statistical curriculum development.
Brocklebank is co-author of the book The SAS System for Forecasting Time
Series; the second edition is scheduled to be published this fall. He
holds a Ph.D. in Statistics and Mathematics, an M.S. in Biostatistics, and
a B.A. in Mathematics. He has served as Adjunct Professor of Statistics at
North Carolina State University, Raleigh NC.
~~~~~~~~~~~
Scott Carl is the founder of Tricision Inc.,
and is a recognized leader in applying analytics to marketing. His industry
experience includes CPG, retail, catalogers, e-Commerce, and manufacturing.
Representative engagements include forecasting, customer targeting and
value models, advertising effectiveness and optimization, and creating
large scale automated systems to support all of the above.
Previously as V.P. Marketing for Outpost.Com, Mr. Carl was accountable for
all marketing activity. Customer centricity and data driven decisions
systems, drove Outpost to reduce their acquisition spend by 40%, while
simultaneously increasing retention rates to nearly 4 purchases purchases
per customer-year. Targeted spending allowed year-on-year sales and
marketing reductions of 25% during his tenure.
Mr. Carl has more than 10 years of experience turning advanced analytics
into usable and measurable business insight. Core analytic competencies
include forecasting, experimental design, econometric modeling, and
optimization technologies. Core business competencies include marketing
strategy, process reengineering, and marketing intelligence systems
development. He has over ten years experience leveraging state-of-the-art
technologies, such as SAS, Oracle, and SQL Server.
Prior to Outpost, Mr. Carl was the Director of Statistical Applications for
a marketing research company in Chicago. Working for clients such as Sears,
Kraft, Miller Brewing, and Campbell's soup, he drove significant changes in
marketing spend via highly automated marketing decision support systems.
Mr. Carl holds a B.S. in mathematics, and an M.S. in management
science/statistics. He was the keynote speaker for the retail advertising
and marketing conference in Melbourne, Australia, and SAS' keynote for the
executive e-Commerce conference held in Queenstown, New Zealand. He has
also been featured in a recent article published by Software Magazine.
~~~~~~~~~~~
Marc Cohen is the director of management
science and numerical optimization research and development at SAS
Institute. He has more than 20 years of professional experience in the
field of operations research and is an expert in management science and
supply chain management. Marc develops SAS software for management science
applications and leads a group of operations researchers, numerical
scientists and computer scientists. Marc serves on the Management Science
Roundtable of INFORMS. He is a member of INFORMS, APICS and the ACM.
~~~~~~~~~~~
Randy Collica received his B.S. in electronic
engineering from Northern Arizona University in 1982. He is currently at
Hewlett-Packard Compaq Computer Corporation as a Sr. Business Analyst using
Data Mining techniques for targeted marketing and customer analytics in the
CRM Database & Business Analysis department. He has developed customer
scoring models and models to estimate corporate IT spending for use in
tactical and strategic customer and prospect business intelligence. His
current interests are in Ensemble models, knowledge and data engineering,
classification models, and text mining techniques for use in business
intelligence. He has been a member of IEEE since 1979.
~~~~~~~~~~~
David Duling is the software development
manager for SAS/Enterprise Miner. He has worked at SAS since 1996
developing various components for EM including the process flow diagram,
scoring functions, neural network, ensemble models, and link analysis.
David has degrees in Physics and Statistics and previously worked from 1986
to 1996 for the National Institutes of Health developing and publishing
methods for numerical analysis simulations of magnetic resonance
spectroscopy.
~~~~~~~~~~~
Yoav Freund is a world-leading expert in the
area of machine learning. His main research contributions are in the areas
of boosting, online learning algorithms, and the relationships between
statistics, information theory and game theory. Currently, he is focused on
implementing and commercializing machine-learning algorithms.
Dr. Freund developed pattern recognition, image processing and real-time
control systems during his service in the Israeli military. From 1993 to
2001, Dr. Freund was a member of the machine-learning group in Bell Labs
Research center at Murray Hill, which later became AT&T Labs Research
Center at Florham Park. In 2001, he joined Banter with the goal of applying
machine learning technology to solve real world problems.
Dr. Freund co-chaired with Dr. Robert Schapire the 1997 conference on
learning theory (COLT) and served as chair of the COLT steering committee
from 1997 to 2000. In 1999, together with Professor Rakesh Vohra, he
organized an international workshop on "online decision algorithms" and
held a symposium on modern methods in statistical analysis as part of the
1999 meeting of the American Association for the Advancement of Science
(AAAS). Dr. Freund is
continuing his academic work as a guest of the machine-learning lab in the
Hebrew University.
~~~~~~~~~~~
Arnold Goodman is Associate Director of the
Center for Statistical Consulting at the University of California, Irvine.
He conceived and co-founded the Annual Symposia on the Interface of
Computing Science and Statistics in 1967, was elected a Fellow of the
American Statistical Association in 1974, has been bridging the technical
and political gap between data mining and statistics since 1997, and
co-chaired Interface '01 that featured data mining and bioinformatics.
His 40 years as a collaborative problem-solver in aerospace, petroleum,
county government and university has contributed: a 1962 iterative
weighted least squares procedure that was 10 years ahead of mixed-model
literature; the first national invited sessions on measurement of computer
systems at the 1972 Fall Joint Computer Conference; and the 1999-2002
Workshops on Critical Success Factors for Consulting and Collaborating. He
was also a member of the 1969 Statewide Mathematics Advisory Committee that
initiated the California Mathematics Strands for Grades 9-12 and is
currently campaigning to increase the coverage of statistics all across
Grades K-12.
Goodman is the first B.S. in Experimental Statistics from North Carolina
State University to become a statistician, obtaining his Ph.D. in
Mathematical Statistics from Stanford University.
~~~~~~~~~~~
Professor Michael Hardin is active in the
American Statistical Association and the International Biometrics Society.
He served as local arrangements chair for the Biometrics Spring 1995
meeting. The Alabama State Health Officer has recognized him for his
contributions to the Alabama Department of Public Health in the areas of
data collection and database design. He has authored or co-authored over
150 abstracts and over 85 articles in a variety of journals such as
American Statistician, Communications in Statistics,
Lancet, The Journal of the American Medical Association,
The American Journal of Public Health, Journal of the American
Geriatrics Society, Journal of American Health Information
Management Association, and Cancer.
~~~~~~~~~~~
Daymond Ling is Director, Modelling & Analytics
at Canadian Imperial Bank of Commerce, a full service financial institution.
He focuses on providing customer analytics and data mining to support the
bank's efforts in Customer Relationship Management, and is heavily involved in
the architecture and business processes of CIBC's CRM platform.
Daymond has over 20 years of experience in Data Mining and System Technology,
focused on bringing about real world business impact and process improvements
through the application of quantitative techniques. Prior to joining CIBC, he
worked for American Express Canada in Risk Management, Card Operations.
Daymond has a MS in Operations Research and a BS in Physics.
~~~~~~~~~~~
Gordon Linoff is a founder and principal of
Data Miners, Inc. He is an expert
in the fields of data mining and data warehousing. His experience spans a
number of industries, including e-commerce, newspapers and magazines,
telecommunications, and banking. With his colleague, Michael Berry, Gordon
has authored two of the most widely read and respected books on data
mining, Data Mining Techniques and Mastering Data Mining
(both published by John Wiley & Sons). These best sellers in the field have
been translated into many languages. Gordon and Michael are now completing
a book, tentatively titled Mining the Web, on application of data
mining in the new economy.
Prior to founding Data Miners, Gordon was at Thinking Machines Corporation
where he served on the team developing the underlying technology for
DowQuest, the Dow Jones new retrieval service and managed the development
of a parallel implementation of SQL. Gordon earned his degree in
mathematics from the Massachusetts Institute of Technology. He serves on
the technology advisory board of TimesN.
~~~~~~~~~~~
Victor Lo, is Vice President of Modeling at
Fidelity Investments where he manages a team of data miners to support the
Retail Marketing Group. Prior to joining Fidelity, he was VP and Manager of
Modeling and Analysis at FleetBoston Financial and a VP/Lead Analytic
Consultant at Fleet Bank. Previously, he was with Mercer Management
Consulting where he served companies in numerous industries such as
financial services, telecommunications, transportation, and internet
service provider. In addition to analytics and management, his work has
included bridging the gap between data miners, business analysts, and
marketers by recommending and applying novel techniques and
state-of-the-art tools to improve targeting and tailoring strategies.
Throughout Victor's career, he has applied techniques such as complex
experimental design for conjoint-based surveys and direct marketing
campaigns; cross-sectional time series regression for measuring advertising
effectiveness; correspondence analysis for perceptual mapping and brand
positioning; cluster analysis for segmentation using survey and behavioral
data; simulation and sensitivity analysis for financial modeling; advanced
statistical modeling for brand, pricing, and feature optimization using
discrete choice analysis; hybrid modeling for customer long-term valuation;
survival analysis for employee retention; and data mining techniques such
as decision tree and neural network for database marketing.
Victor has a master's degree in Operational Research from University of
Lancaster, U.K. and a PhD in Statistics from the University of Hong Kong,
and received postdoctoral training in Management Science from University of
British Columbia, Canada. His previous academic research included
applications of probability, statistical, and nonlinear optimization models
in gambling strategies and quality engineering. He also co-authored a
graduate level econometric book and published articles in Management
Science and The Statistician.
~~~~~~~~~~~
Bill MacReady has worked in complexity-related
fields since 1990. His scientific interests center on the probabilistic
inference for the design of efficient optimization and machine learning
algorithms, and the concurrency calculi as practical formal models for
complex systems. He has published on the theory of landscapes, molecular
evolution, adaptive organizations, economics, and methods of quantifying
complexity. He joined the Santa Fe Institute in 1991, where he worked as a
postdoctoral fellow. Recently he served as vice president of science for
BiosGroup, who he joined in July 1997 after working at IBM Research Labs.
He was responsible for the science behind the MarketProwess product and is
an expert on high-dimensional matching. Currently MacReady works for NASA's
Ames Research Center.
Dr. MacReady has his B.S., M.S., and Ph.D. degrees from the University of
Toronto.
~~~~~~~~~~~
Edward Malthouse has been an assistant professor
of integrated marketing communications at Northwestern University since
1997. He teaches courses on marketing research, data-driven customer
management, and data mining to graduate students and executives. He is the
senior research statistician at Northwestern's Media Management Research
Center. His research focuses on data mining applications to direct,
database, and electronic commerce marketing problems.
He spoke at the 2001 SAS Data Mining Conference and has been a visiting
professor twice at Aoyama Gakuin University in Tokyo, Japan, where he has
lectures on data mining topics to graduate and undergraduate students.
Prior to joining IMC, he taught at the Kellogg Graduate School of
Management and at the Statistics Department at Northwestern University. He
has also served as a consultant for companies including Looking Glass, the
Sachs Group, Marketing Solutions, Bell Laboratories, Digital Equipment
Corporation.
He received his Ph.D. in computational statistics from Northwestern
University, an M.Sc. in operational research from Southampton University,
and a B.A. in mathematics from Augustana College.
~~~~~~~~~~~
Brij Masand has 15 years of experience in
applying intelligent technologies (e.g. neural networks, decision trees,
genetic algorithms, genetic programming) to solving business problems. He
has created innovative solutions in many verticals including
telecommunications, financial services, supply chain management, e-commerce
and intelligent text processing.
Example projects include:
- modeling and predicting cellular churn on a national basis for a major wireless provider in more than 20 major markets
- modeling repeat visitor behavior for an online yellow pages services to identify demographic segments
- building an intelligent agent for ranking news by relevance in real time to reduce false alerts
- a system for detecting concepts and classifying news stories for a major newspaper publisher
- detecting interesting changes or deviations in customer data for a major credit card company
- a machine learning-based intelligent agent for financial services used for comparing similar financial instruments.
Brij is regarded as an expert in the areas of text mining and web usage
mining and has authored several research articles on data mining in
general. He has two patents in the area of text mining and 3 more patent
applications in progress for intelligent agents in the area of financial
services.
~~~~~~~~~~~
Gregor Meyer has worked for IBM since 1997,
when he joined the product development team for DB2 Intelligent Miner in
Germany. He is currently at IBM at the Silicon Valley Laboratory in San
Jose, where he is responsible for the technical integration of data mining
and other BI technologies with DB2. He represents IBM in the Data Mining
Group (DMG)defining the PMML standard for mining models. Gregor studied
Computer Science in Brunswick and Stuttgart, Germany. He received his
doctorate from the university of Hagen, Germany.
~~~~~~~~~~~
Anne Milley is the Manager of Analytical
Strategy in Worldwide Marketing at SAS. She works closely with development
to articulate vision and define strategy for analytical technologies. Her
ties to SAS began with her thesis on bank failure prediction models and the
term structure of interest rates. She completed this at The Federal Home
Loan Bank of Dallas and became a manager in the credit group. She
continued her use of SAS at 7-Eleven, Inc. as a Senior Business Consultant
performing sales analysis and designing and conducting tests to aid in
strategic decision-making, e.g., price sensitivity studies, advertising and
promotion analysis.
She has co-authored a Best Practices Paper, “Data Mining and the Case for
Sampling,” various articles and an award-winning report for the
1999 KDD
Contest. Anne was Co-Chair for The SAS Data Mining Technology
Conference, M2001, and is serving again as Co-Chair for M2002. She has
served on web mining committees for KDD and SIAM and is on the Scientific
Advisory Committee for Data Mining 2002.
Anne has a Master of Arts and Bachelor of Arts in Economics from Florida
Atlantic University in Boca Raton, did post-graduate work at Aachen
Technical University (Rheinisch-Westfälische Technische Hochschule Aachen),
and is proficient in German.
~~~~~~~~~~~
Will Potts, co-chair of M2002, is Chief Statistician at Data Miners.
With 13 years of experience as a statistical consultant, he collaborated on
data analysis projects in a broad range of industries, including financial
services, retail, health care, auto finance, consumer banking, and
telecoms. Prior to joining Data Miners, he was a statistical training
specialist at SAS who also developed popular and well-respected courses on
the application of logistic regression, neural networks and decision trees
to data mining. A renowned data mining expert, his presentation on Decision
Theory for Data Mining is highly regarded in data mining circles.
Will is the author of scores of papers on statistical topics for a wide
range of peer-reviewed journals and conferences. He also serves as a
referee for professional journals such as Knowledge Discovery,
Data Mining, and The American Statistician.
Will has a B.A. from the University of Arizona and an M.A. in Mathematical
Statistics from University of Maryland.
~~~~~~~~~~~
Professor Foster Provost, of NYU's Stern
School of Business, is an internationally recognized expert on data mining,
knowledge systems, and machine learning. In 2000 and in 2001 he won IBM
Faculty Awards for outstanding research in these areas. Professor Provost
teaches and speaks about the alignment of these technologies with business
problems. At Stern, he teaches graduate courses on information technologies
and how they affect business and business strategy.
He recently was elected as a founding board member of the International
Machine Learning Society, is an editor of the journal Machine Learning and
a member of the editorial board of the Journal of Machine Learning
Research. This past year he co-chaired the KDD data mining conference.
His special issue of the international journal Data Mining and Knowledge
Discovery, on
eCommerce and Data Mining, now is available
as a
book.
Professor Provost advises small and large companies who are interested in
extracting useful knowledge from their data. He served as an expert witness
on a recent case involving customer profiling and fraud detection systems.
He also advises the U.S. Government (National Science Foundation, NASA,
DARPA) on its investments in data mining research.
He has applied advanced technologies to a variety of business problems,
including fraud detection and customer contact management. For the last ten
years, his research has focused on the issues involved with aligning data
mining technologies with real-world problems, making several notable
technical advances including robust modeling in the face of imprecision in
the business environment, and profiling/monitoring on-line activity.
Professor Provost has been a guiding member of the scientific community. He
has published over 50 articles. A Machine Learning
editorial essay
of his currently is recommended reading for authors of
applied research
papers. He regularly serves on the program committees of the top
conferences in artificial intelligence, machine learning, and data mining,
and has organized workshops on fraud detection and on AI methods for
time-series analysis. He served on the organizing committees of KDD-98,
KDD-99, and KDD-2001.
~~~~~~~~~~~
Bruce Ratner, Ph.D. is president and founder of
DM STAT-1 CONSULTING, the leader in
analysis and modelling in the DM Industry, specializing in statistical
methods and knowledge discovery and data mining tools in the areas of
banking, insurance, finance, retail, telecommunications, mass and direct
advertising, business-to-business, catalog marketing, and e-commerce and
web-mining.
Bruce is active in the direct marketing community as the instructor of the
advanced statistics course Modern Methods of Data Analysis and Response
Modelling sponsored by the Direct Marketing Association, and as a frequent
speaker at industry conferences. He is the author of the DM STAT-1 Newsletter
on the Internet, as well as articles on modelling techniques and software
tools. He is a co-author of the popular text book The New Direct Marketing and
serves on the editorial board of The Journal of Database Marketing.
Currently, Bruce has teamed up with CRC/St. Lucie to write a book on
Statistical Learning In Database Marketing: A Collection of Techniques for
Analysis and Modelling, expected to be published in the first half of 2003.
Bruce holds a doctorate in mathematics and statistics, with a concentration in
multivariate statistics and response model simulation. His research interests
include developing hybrid modelling techniques, which combine traditional
statistics and artificial intelligence methods.
~~~~~~~~~~~
Richard Roach is senior director of ASP Market
Development at SAS. He is responsible for identifying and capitalizing on
opportunities to provide SAS-based solutions in an ASP environment. In this
capacity he works closely with worldwide marketing strategy, research and
development, customers, and prospects to define business pains and solve
them using ASP-delivered SAS knowledge solutions.
Prior to assuming his current responsibilities, Roach gained 18 years
experience in all facets of development, sales and marketing management at
SAS. He earned a master's of business administration in 1981 from East
Carolina University, Greenville, N.C., where he also served as an
instructor in computer science and statistics.
~~~~~~~~~~~
Jaideep Srivastava is a professor of Computer
Science and Engineering at the University of Minnesota. Between 1999 and
2001 he took a two-year leave, during which he worked at Amazon.com as the Chief Data Mining
Architect, at Yodlee Inc. as Director -
Data Analytics, and at Chingari Inc. as the Chief Technology Officer. This
wide-ranging industry experience has provided him with a unique perspective
on the application of various computer science technologies in the Internet
economy. As a researcher, educator, consultant, and invited speaker in the
areas of data mining, databases, artificial intelligence, and multimedia
for over 15 years, Jaideep continues his active collaboration with the
technology industry, both for research and technology transfer.
An often-invited participant in technical and technology strategy forums,
Jaideep has presented at a multitude of various industry, academic and
government meetings. He served on the program committee of numerous
conferences, and is on the editorial board of various journals. The federal
government has solicited his opinion on computer science research as an
expert witness. He also served in an advisory role to the governments of
India and Chile on various software technologies. Jaideep is a member of
the ACM, and a senior member of the IEEE.
Jaideep received his B.S. from the Indian Institute of Technology, and M.S.
and Ph.D. degrees from the University of California - Berkeley.
~~~~~~~~~~~
Andrew Storey is the director of decision
support at Scotiabank. He has worked on financial sector data mining
solutions for over five years in the areas of credit risk management and
database marketing. Prior to that, he was a consultant at a Canadian
economic consulting firm. Andrew has an extensive background in
econometrics and computer software engineering. He is a member of the
ACM's Special Interest Group on Knowledge Discovery and Data Mining
(SIGKDD), the Global Association of Risk Professionals (GARP) and is a
certified SAS developer.
~~~~~~~~~~~
Professor Edward J. Wegman received his B.S.
in mathematics degree from St. Louis University in 1965. He received the
M.S. and Ph.D. degrees in mathematical statistics from the University of
Iowa, the latter degree in 1968. Subsequently, he spent 10 years on the
faculty of the world-class Department of Statistics at the University of
North Carolina. In 1978, Professor Wegman went to the Office of Naval
Research (ONR) where he was the Head of the Mathematical Sciences Division.
In this role, he had responsibility Navy-wide for basic research programs
in applied mathematics, statistics and probability, systems theory,
operations research, discrete mathematics, communication theory, and
numerical analysis and computational architectures. In addition, he was
responsible for a variety of cross-disciplinary areas including such
projects as mathematical models of biological intelligence, mathematical
methods for remote sensing, and topological metho ds in chemistry. As part
of his duties at the Office of Naval Resear ch, coined the phrase,
computational statistics, and developed a high profile research area around
this concept. This program led to a revolution in contemporary statistical
graphics. Dr. Wegman was the original program director of the basic
research program in Ultra High Speed Computing at the Strategic Defense
Initiative's Innovative Science and Technology Office (Star Wars Program).
As the SDI program officer, Dr. Wegman was responsible for programs in
software development tools, highly parallel architectures and optical
computing.
Dr. Wegman is currently the Bernard J. Dunn Professor of Information
Technology and Applied Statistics, the Chair of the Department of Applied
and Engineering Statistics and the Director of the Center for Computational
Statistics at George Mason University. He came to the university with an
extensive background in both theoretical statistics and computing
technology, with an extensive knowledge of the considerable data analytic
problems associated with large scale scientific and technical databases and
with a strong motivation to develop the computational and methodological
tools to address these problems. In 1986, he launched the Center and
developed the M.S. in Statistical Science degree program. More recently he
has been involved with the development of the Institute for Computational
Science and Informatics and the new Ph.D. program in Computational Sciences
and Informatics at George Mason University.
Wegman has served as associate editor of the Journal of the American
Statistical Association, Statistics and Probability Letters and
Communications in Statistics. He presently serves on the editorial boards
of the Journal of Statistical Planning and Inference, the Naval Research
Logistics Quarterly, the Journal of Nonparametric Statistics and
Computational Statistics and Data Analysis. Dr. Wegman completed a
four-year term as the Theory and Methods editor of the prestigious Journal
of the American Statistical Association. He is the founder of the Interface
Foundation of North America, Inc. which is the host organization for the
Symposia on the Interface of Computing Science and Statistics. Dr. Wegman
served in national office in the Institute of Mathematical Statistics, the
American Statistical Association and the American Association for the
Advancement of Science. He has published more than 120 papers and five
books. His professional stature has been recognized by his election as
Fellow of the American Statistical Association, the American Association
for the Advancement of Science, the Washington Academy of Science and the
Institute of Mathematical Statistics.
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What participants say about the M-series:
"The educational content, exchange of ideas, and intellectual environment
I found at the conference exceeded my expectations and confirmed SAS'
place as the premier data mining conference in the world."
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"Right time. Right place. Right content."
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"This was a superb environment - one of the smartest conference venues I
have experienced (and I have experienced a lot). The talks went into
greater depth than the talks at many such meetings. Many of the talks were
particularly valuable in shedding light on different application areas of
data mining."
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