Speakers
This page is updated weekly. Please check back frequently for the latest information.Co-Chairs
Dr. Jerry Oglesby, SASDirk Van den Poel, Ghent University
Keynote Speakers
Bart Baesens, Katholieke Universiteit Leuven (Belgium) and University of Southampton (United Kingdom)Michael Berthold, University of Konstanz
John Elder, Elder Research, Inc
Manfred Krafft, University of Münster
Kim Larsen, Charles Schwab & Co
Will Neafsey, Ford Motor Company
Session Speakers
Mattias Andersson, TRELeonardo Auslender, SAS
Philippe Baecke, Ghent University
Mark Carmichael, Eclipse International
Gary Class, Wells Fargo & Company
Nick Evangelopoulos, University of North Texas
Robert Golan, DBmind Technologies, Inc.
Viterbo H. Berberena González, Universidad Anahuac
Vincent Granville, Data Shaping Solutions and Click Forensics
Dudley Gwaltney, SunTrust Bank
Guillermo Híjar, Universidad Anahuac
Zainab Jamal, HP Labs
Hye-Chung Kum, University of North Carolina
Choudur K. Lakshminarayan, HP Laboratories
Randall LaViolette, Sandia National Laboratories
Bruce Lund, Marketing Associates LLC
Riku Mäkeläinen, TeliaSonera
Colleen McCue, MC2 Solutions, LLC
Robert Moberg, TRE
Anita Prinzie, Unversity of Manchester
Sascha Schubert, SAS
Judy Spomer, Sandia National Laboratories
Shusaku Tsumoto, Shimane University
Donald Wedding, SAS
Terry Woodfield, SAS
Katsutoshi Yada, Kansai University, Osaka, Japan
Jun Yan, Deloitte Consulting LLP
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 predictive analytics, data mining, customer relationship management, fraud detection, and credit risk management. His findings have been published in well-known international journals (e.g. Machine Learning, Management Science, IEEE Transactions on Neural Networks, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Evolutionary Computation, Journal of Machine Learning Research, ?) and presented at international top conferences. He is also co-author of the book Credit Risk Management: Basic Concepts, published in 2008. He regularly tutors, advices and provides consulting support to international firms with respect to their data mining, predictive analytics, and credit risk management policy.
After receiving his PhD from Karlsruhe University, Germany, Michael Berthold spent over seven years in the US, among others at Carnegie Mellon University, Intel Corporation, the University of California at Berkeley, and most recently as director of an industrial think tank in South San Francisco. Since August 2003 he holds the Nycomed-Chair for Bioinformatics and information Mining at Konstanz University, Germany where his research focuses on using machine learning methods for the interactive analysis of large information repositories in the Life Sciences. Most of the research results are made available to the public via the open source data mining platform KNIME.
M. Berthold is Past President of the North American Fuzzy Information Processing Society, Associate Editor of several journals and the President-Elect of the IEEE System, Man, and Cybernetics Society. He has been involved in the organization of various conferences, most notably the IDA-series of symposia on Intelligent Data Analysis and the conference series on Computational Life Science. Together with David Hand he co-edited the successful textbook Intelligent Data Analysis: An Introduction which has recently appeared in a completely revised, second edition.
Mark Carmichael is Managing Director of Eclipse GB Ltd, part of a pan-European integrated direct marketing communications company. In 2008, he created the Eclipse Alliance - a gathering of globally recognised expertise in various disciplines in direct marketing ? designed to analyse, facilitate, streamline, customize and track communications better and more effectively.
The Eclipse Alliance was an instant success, securing its first two substantial accounts within weeks of its launch. Today, the Alliance is making data work more effectively to the benefit of marketers and their customers to improve overall marketing performance.
By offering a mix of sophisticated analysis techniques, emerging digital technologies (online and off) and advanced creative, the Alliance offers a new platform through which content is delivered to a customer in a manner far more efficient and effective than traditional DM approaches.
The Alliance also offers a sophisticated Marketing Lab, enabling the testing of multiple changes in creative variables to calculate which permutation of factors produces the greatest return on investment.
Mark has successfully started several businesses in direct marketing, advertising and manufacturing in five countries. His direct marketing programs have sold more than 25,000 automotive vehicles internationally, have raised millions for non-profit organisations and have helped countless clients in the retail, financial services and publishing sectors. He is currently conducting research for a future book on technology-enabled integrated direct marketing.
Mark received BSc degrees in Economics and Business from Syracuse University in 1990. In 2005, he received his MBA from Oxford University. He is also currently studying Biblical and Theological Studies at Oxford Univerisity.
He resides in Oxford, England.
Prior to joining wellsfargo.com, Mr. Class was responsible for distribution planning & analysis throughout the Wells Fargo franchise.
Mr. Class played a lead role in the development of Wells Fargo's innovative branch delivery strategy, including the supermarket banking program and specialized branch formats serving diverse segments such as the affluent retired, college student and small business customer base.
In addition, Mr. Class was responsible for development of branch staffing & scheduling applications as well as branch-based database marketing and lead delivery tools.
Mr. Class received his MBA from Haas School, University of California, Berkeley and his B.A. cum laude from the University of Pennsylvania.
Dr. John Elder heads a data mining consulting team with offices in Charlottesville, Virginia and Washington DC (www.datamininglab.com). Founded in 1995, Elder Research, Inc. focuses on investment, commercial and security applications of advanced analytics, including stock selection, image recognition, process optimization, text mining, cross-selling, biometrics, drug efficacy, credit scoring, market timing, and fraud detection. John obtained a BS and MEE in Electrical Engineering from Rice University, and a PhD in Systems Engineering from the University of Virginia, where he's an adjunct professor teaching Optimization or Data Mining. Prior to 15 years at ERI, he spent 5 years in aerospace defense consulting, 4 heading research at an investment management firm, and 2 in Rice's Computational & Applied Mathematics department. Dr. Elder has authored innovative data mining tools, is a frequent keynote speaker, and is co-chair of the 2009 Knowledge Discovery and
Data Mining conference, in Paris. John's courses on analysis techniques -- taught at dozens of universities, companies, and government labs -- are noted for their clarity and effectiveness. Dr. Elder was honored to serve for 5 years on a panel appointed by the President to guide technology for National Security. His book on Practical Data Mining, with Bob Nisbet and Gary Miner, will appear in May 2009. John is a follower of Christ and the proud father of 5.
Nick Evangelopoulos (Ph.D., Washington State University) is an Associate Professor with the Department of Information Technology and Decision Sciences at the University of North Texas. Dr. Evangelopoulos research interests include Probabilistic Modeling, Applied Statistics, and analysis of Textual Data. Dr. Evangelopoulos has published a number of research articles that appear in prominent journals and national or international conference proceedings. His articles appear in MIS Quarterly, Communications in Statistics - Simulation & Computation, Computational Statistics & Data Analysis, and other research journals.
Dr. Evangelopoulos has taught a number of courses in Business Statistics, Management Science, Advanced Java and Object-Oriented Programming, and Data Mining. He is currently a member of the Decision Sciences Institute and a Fellow of the Texas Center for Digital Knowledge. He can be contacted at Nick.Evangelopoulos@unt.edu.
In the early 80's Robert Golan received his BSC in Computer Science from the University of Regina, Saskatchewan, Canada. As a student consultant Robert documented the computer investment procedures used by the Alberta's Heritage Trust Fund while integrating part of the Canadian Securities Course. Ten years later Robert completed his MSC in Computer Science on the topic of Stock Market Analysis utilizing Rough Set Theory (AI). Over that time period Robert worked in many technical positions as a Systems Analyst, Researcher, and Developer in the Finance, High Tech, Energy, and Agriculture Industries. In 1995, Robert started up a company called DBmind Technologies, which specializes in the architecture, design, and development of Web Services (SOA) Rules based Data Warehouses and Meta Data Repositories with a BI and Data Mining theme. He has a number of AI publications on Data Mining and Visualization. Algol Trading and RuleML with focus on AI integration mechanisms are his latest challenges.
At RuleML 2009/Businss Rules Forum, Robert is the Cross Industry Standards Track Chair. Robert is also the 2009 Technical Chair for Computational Finance and Economics for the IEEE Computational Intelligence Society.
Viterbo H. Berberena González, Ph.D., is a Professor of Analytics at Universidad Anahuac in Mexico. He graduated in Chemical Engineering from Universidad Central de Las Villas in 1985, and specialized in advanced analytic methods at Mendeleev Institute, in Moscow, in 1989. Given his great passion for the analytics area, he pursued graduate studies in Process Analysis, obtaining his Ph.D. with honors in 1991. He has taught classes at Universidad Central de Las Villas (UCLV), Instituto Politécnico Nacional (IPN), Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM), Universidad Iberoamericana (UI), Instituto Tecnológico Autónomo de México (ITAM), both at the graduate and undergraduate levels. Dr. Berberena has pioneered the Master in Analytical Intelligence program at Universidad Anahuac, and has also vastly reengineered the graduate programs for the Management Center in Engineering and Technology at that institution. He has published extensively in the areas of marketing
analytics and data mining at Segmento and Datos, Diagnósticos y Tendencias, both journals published by ITAM and the Mexican Association of Research Agencies (AMAI) respectively. He has collaborated with SAS Institute Mexico since 2000 and leads many data mining projects for companies in the financial, telecommunications, retail and others industries in Mexico. Currently he serves as a Senior Consultant on Analytics for Banco Santander (Mexico) in the areas of analytical marketing, credit card risk and marketing intelligence. He presented as a session speaker at 11th annual Data Mining Conference (M2008, Las Vegas) on the topic Modeling and Optimization Marketing Campaigns.
Dr. Berberena is one of most important academics in Mexico in promoting the "Competing on Analytics" framework with both academia and business community.
Dr. Vincent Granville has successfully solved problems for 15 years in data mining, text mining, predictive modeling, business intelligence, technical analysis, keyword and web analytics. Vincent is widely recognized as the leading expert in click scoring and web traffic optimization. Over the last ten years, he has worked in real-time credit card fraud detection with Visa, advertising mix optimization with CNET, A/B testing with LowerMyBills, online user experience with Wells Fargo, query intelligence with InfoSpace, click fraud detection with major search engines and large advertising clients.
Vincent was formerly Chief Science Officer at Authenticlick, where he developed patent pending technology. In the last few years, he successfully launched DataShaping, AnalyticBridge, AnalyticBrain, AnalyticTalent, Frenchlane and many other websites. Vincent is a former post-doctorate of Cambridge University and University of North Carolina at Chapel Hill. He was among the finalists at the Wharton School Business Plan Competition and at the Belgian Mathematical Olympiads.
With a background on both the consulting and client side, Dudley has extensive experience in a wide array of data mining areas, including predictive modeling, segmentation, program analysis, design, implementation and maintenance of data marts, and software development. The majority of his career has been focused on the financial services industry.
Using data mining and statistical analysis, Dudley works with SunTrust's Marketing and Product Management departments to improve overall performance by enhancing existing programs and creating new ones.
Dudley currently serves on the Industry Advisory Board for the Institute for Advanced Analytics at North Carolina State University. He received degrees from North Carolina State in Business Management, Economics, and Computer Science.
Guillermo Híjar, M. Sc., is a Professor of Strategic Planning at Universidad Anahuac in Mexico. He graduated in Mechanical Engineering from Universidad Anáhuac in 1976, and obtained his Masters' Degree in Mechanical Engineering from the Massachusetts Institute of Technology in 1979. Throughout the first twelve years of his professional career he worked for a large industrial group in Mexico City first, as the Strategic Planning Director and afterwards as the General Manager of Quimic, a chemical company. Later he held a position as General Manager of New Balance de Mexico, a footwear manufacturer. Afterwards, he worked for another twelve years for Mine Safety Appliances Company, a global supplier of industrial safety equipment, as the Managing Director of its subsidiary in Mexico. Five years ago he retired from the industry to fulfill his true passion: to work in the academic environment and to write text books.
He is about to publish his first book in strategic planning, Foresight; and he is preparing the second one, Insight. His books are about promoting analytic and systemic tools in the business environment for improving decision making. Professor Híjar patented a devise to simulate the behavior of various financial indices and ratios.
Zainab Jamal joined HP Labs (Business Optimization Lab) as a research scientist in 2007 after completing her Phd in Marketing Science from UCLA Anderson Business School. Her area of research at UCLA was in empirical marketing modeling and looked at developing models to improve the diagnosis and prediction of customer retention (customer churn) rates at an individual level and to establish the empirical impact of different factors in the context of the customer-firm relationship. Her broader research interests are in the understanding of customer relationship management (customer retention, customer churn, customer acquisition, customer lifetime value), modeling customer behavior on the internet and other interactive media and not-for-profit marketing. She has used discrete choice modeling, survival/hazard modeling and econometric modeling frameworks in her research. Prior to joining the PhD program at UCLA she worked for nearly 4 years in brands and product development for companies in
India (GlaxoSmithKlineBeecham, go4i.com and CRY - Child Relief and You) after completing her MBA from Indian Institute of Management at Ahmedabad (IIMA) and Masters in Economics from Delhi School of Economics (Delhi University).
Manfred Krafft is respected as a scholar with special interests in Customer Relationship Management (CRM), Direct Marketing, and Sales Management. He is known for his applied research that had an impact on both science and practice. His work has won prestigious prizes such as the INFORMS Society for Marketing Science Practice Prize, and was finalist in the Franz Edelman Award. His paper on financial effects of CRM is currently the most heavily cited paper in Journal of Marketing Research.
Manfred holds the Marketing Chair at the University of Münster, considered to be Germany's premier research university, and Visiting Professorships at Università Bocconi in Milan, Italy and Loughborough University, England. He enjoys an international reputation for his award-winning research that has been published in leading journals in Marketing such as Journal of Marketing, Journal of Marketing Research and Marketing Science. In his research, Manfred collaborates with scholars from around the world. He received his doctoral degree in business administration and holds an MSc and BSc in business and economics.
Manfred shares his insights with executives, scholars and students in university programs as well as at conferences in Europe and around the world. Manfred has developed executive programs for 3M and Metro Group, and gives advice to companies such as Bertelsmann, Daimler, Deutsche Bahn, Deutsche Post, GfK, Johnson & Johnson, Lufthansa, and TNS Infratest. His books on "International Direct Marketing" and "Retailing in the 21st Century" have appeared in French, English, German, Korean and Russian (forthcoming).
Dr. Hye-Chung Kum is a research assistant professor at the department of Computer Science and the School of Social Work at the University of North Carolina at Chapel Hill (UNC-CH). She received her MS and PhD in Computer Science from UNC-CH. In her PhD program, she also minored in Social Work and completed her MSW from UNC-CH. She has done extensive research on sequential pattern mining, data mining, digital government, and the use of KDD technology on administrative data from social welfare for program evaluation and policy analysis. Her findings have been published in well-known international journals (e.g. Data Mining and Knowledge Discovery, Data and Knowledge Engineering, Information Sciences, Government Information Quarterly, Child Maltreatment) and presented at international conferences (e.g. SIAM International Conference on Data Mining, PAKDD, ACM International Conference on Digital Government Research,
Foundations of Data Mining and Knowledge Discovery, The National Child Welfare Data and Technology Conference, The National Association for Welfare Research and Statistics Workshop and Conference) both in the field of computer science and social work. Her work in sequential pattern mining has also been published as a chapter in the book Mining Sequential Patterns from Large Data Sets Series: The Kluwer International Series on Advances in Database Systems, Vol. 28. She is a member of the program committee for the ACM International Conference on Digital Government Research and a regular reviewer for international journals such as Data and Knowledge Engineering, Knowledge and Information Systems, IEEE Transactions on Knowledge and Data Engineering, and Information Sciences.
Kim Larsen is a Director in the Advanced Analytics group at Charles Schwab & Co., in San Francisco. The Advanced Analytics team works directly with partners in marketing, finance, and product management to solve business problems through statistical analysis and optimize the impact of business levers.
He has more than eight years of experience in data mining and statistical modeling in the financial services industry. Throughout his professional career he has worked on a wide array of data mining problems including customer segmentation, forecasting, price optimization and predictive modeling for various applications.
Kim holds a BS in mathematics and economics and an MS in statistics.
Dr. LaViolette received the Ph.D. in Chemistry from the University of California, Berkeley in 1984, after receiving the B.A. in Chemistry-Mathematics from Reed College in 1979. Following a postdoctoral appointment at Bell Laboratories (Murray Hill, 1984-1986), he joined the technical staff at the Rockwell International Science Center in 1986. He joined the Idaho National Laboratory in 1991 as Technical Leader of the Theoretical Chemistry Project and led research in theoretical chemistry, molecular modeling of materials, surfaces, and clusters, fate and transport of contaminants in the subsurface, and alternative automotive fuels. He joined Sandia National Laboratories (NM) in 2005, where he has begun to apply results from "network physics" to studies of infrastructure resiliency. He has more than 50 peer-reviewed articles published in peer-reviewed journals or proceedings.
Before joining Marketing Associates in 2002, Bruce worked at Ford Motor Co. for 22 years and served as a driving force in the development of Ford's customer database and database marketing applications. Prior to that, he was an associate professor of mathematics and statistics at the University of New Brunswick, Canada. Bruce received a BS in Mathematics from the University of Illinois and a PhD in Mathematics from Stanford University.
Dr. Colleen McCue, President & CEO of MC2 Solutions brings over 18 years of experience in advanced analytics and the development of actionable solutions to complex information processing problems in the applied public safety and national security environment. Dr. McCue's experience as the Crime Analysis Program Manager for the Richmond, Virginia Police Department and pioneering work in operationally relevant analytical strategies has been used to support a wide array of national security and public safety clients. Dr. McCue has authored a book on the use of advanced analytics in the applied public safety environment entitled, Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis.
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
Anita Prinzie is a post doctoral researcher in Economics and Business Administration at Manchester Business School, University of Manchester, UK. She is a visiting Professor at Ghent University, Belgium, from which she received her Masters degree in Marketing Analysis and Planning as well as her PhD. Her PhD thesis investigated the use of sequence-analysis methods for CRM purposes (churn and cross-sell analysis). She worked as a visiting academic at Monash University, Australia. Her current research interests include 1) testing the external validity of the new Random Multinomial Logit algorithm for choice analysis, 2) understanding and optimising customer decision processes from a marketing-action perspective and 3) assessing the value of sequential information for aCRM models. Her papers have been published in Decision Support Systems (DSS), European Journal of Operational Research (EJOR), Expert Systems with Applications (ESwA),
Journal of Intelligent Information Systems (JIIS), Lecture Notes in Computer Science (LNCS) and Lecture Notes in Artificial Intelligence (LNAI).
Schubert supports SAS customers in solving business problems such as: customer attrition and churn, cross-selling, customer segmentation and market basket analysis. Other main areas of his analytical expertise are fraud detection and anti-money laundering. He also provides direction and support to the research and development team to ensure that market requirements are reflected in product development.
Judy Spomer is a Senior Member of Technical Staff at Sandia National Laboratories. At Sandia, she is engaged in text analysis research and has developed models to forecast safety incidents, aid in the development of ergonomics evaluations, and in the area of security. Prior to employment at Sandia, Ms. Spomer worked as a Risk Modeler for American General Finance, developing customer credit scoring models, and behavioral models aimed at reduction of customer delinquency. She has a B.S. in Computer Science from Indiana University of Pennsylvania, and an M.S. in Data Mining from Central Connecticut State University.
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.
Donald Wedding holds a Ph.D. in Engineering Systems, an M.S. in Engineering Science, and a B.S. in Electrical Engineering from the University of Toledo. During his engineering education, he focused on software engineering and machine learning which is a precursor to data mining. He also holds an M.S. in Management from the University of Akron. He has worked as both a software engineer in the defense industry and as a data miner in the financial services (banking and insurance) industry. Dr. Wedding is currently employed as a Systems Engineer for the SAS Institute.
Terry Woodfield is a Statistical Services Specialist in the Education Division of SAS Institute, Inc. and served as co-chair for M2003, SAS' 6th annual data mining conference. Dr. Woodfield has more than 29 years of SAS programming experience and has provided training and mentoring services in the areas of statistical forecasting, predictive modeling, and data mining. At SAS, Dr. Woodfield has developed courses in statistical forecasting, Web mining, and text mining. He is also active in the statistics profession, presenting papers at numerous statistical conferences and professional meetings, and he has served on steering committees in data mining and forecasting. He has helped develop forecasting and predictive modeling solutions for insurance, energy, and retail companies and been an expert witness in utility ratemaking hearings. Before joining SAS, Dr. Woodfield was Chief Statistician at HNC Software and other prior experience includes statistical software development in
SAS/ETS Research and Development and university teaching and research.
Katsutoshi Yada is Professor of Management Information Systems in the Faculty of Commerce, Kansai University, Osaka, Japan. He was previously an Assistant Professor in the Department of Business Administration, Osaka Industrial University, Osaka, Japan, from 1997 to 2000. He received his M.A. and Ph.D. in Business Administration from Kobe University of Commerce, Hyogo, Japan, in 1994 and 2002, respectively. He was a visiting scholar of School of business at Columbia University from 2006 to 2007. He is currently the director of Program on "Data Mining and Service Science for Innovation" at Kansai University, supported by MEXT. His present research interests include data mining for marketing, and information strategy concerning data mining. His papers have appeared in several journals, including Data Mining and Knowledge Discovery, Soft Computing, Decision Support Systems and others. He had been a guest editor of special issues in Information Science. He has been chairman and member of various
program committee in many international data mining conferences and workshops, including TC chair of IEEE SMC, ICDM and others. He is a member of IEEE, AMA and AMS.
Mr. Yan is a specialist leader in the Advanced Quantitative Service (AQS) Group of Deloitte Consulting LLP. Mr. Yan has more than 15 years experience in Property and Casualty insurance industry. He joined Deloitte Consulting in January, 2005.
After joined Deloitte, Mr. Yan, as one of the leading modelers in AQS of Deloitte, developed sequence of predictive models for various commercial lines and personal lines of business.
Before joining Deloitte, Mr. Yan was a Sr. Research Consultant in Hartford Insurance Group (HIG) for more than seven years. His experience in HIG was developing class plan for personal auto and homeowners, credit scoring, growth and profitability projection, and claim level loss development. He also received numerous awards and nominations for his contributions to The Hartford's business.
Mr. Yan is a frequent speaker in Casualty Actuarial Society (CAS)'s seminars and conferences. He is a co-instructor of CAS Limited Attendance Predictive Modeling Seminar from 2006 to 2009.
Mr. Yan holds a Ph.D. in Statistics from Indiana University in Bloomington, Indiana.