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Speakers Predictive Analytics World Government 2011

Dean Abbott, President, Abbott Analytics

Dean AbbotDean Abbott, President, Abbott Analytics Mr. Abbott has over 21 years of experience applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems, including fraud detection, risk modeling, text mining, response modeling, survey analysis, planned giving, and predictive toxicology. In addition, Mr. Abbott serves as chief technology officer and mentor for start-up companies focused on applying advanced analytics in their consulting practices.

Mr. Abbott is a seasoned instructor, having taught a wide range of data mining tutorials and seminars for a decade to audiences of up to 400, including PAW, KDD, AAAI, IEEE and several data mining software users conferences. He is the instructor of well-regarded data mining courses, explaining concepts in language readily understood by a wide range of audiences, including analytics novices, data analysts, statisticians, and business professionals. Mr. Abbott also has taught applied data mining courses for major software vendors, including SPSS-IBM Modeler (formerly Clementine), Unica PredictiveInsight (formerly Affinium Model), Enterprise Miner (SAS), Model 1 (Group1 Software), and hands-on courses using Statistica (Statsoft), Tibco Spotfire Miner (formerly Insightful Miner), and CART (Salford Systems).

Predictive Modeling to Detect Fraud at DFAS


Mohammad A. Adra, Assistant Inspector General, USPS OIG

Mohammad A. AdraMohammad A. Adra is the Assistant Inspector General in charge of the Risk Analysis Research Center (RARC) for the U.S. Postal Service Office of Inspector General. He has been with the USPS OIG since 2002. As Assistant Inspector General for RARC, Mr. Adra is responsible for a research group that produces papers on applied public policy, economic analysis, and strategic issues pertaining to the Postal Service. Prior to his OIG tenure, he worked for the U.S. Postal Service on pricing issues and the Energy Information Administration in energy demand forecasting. Mr. Adra received a master's degree in applied economics from John Hopkins University and an MBA from Humboldt State University. He received his bachelor's degree in mathematics from the University of Colorado.

Blame it on the Nerds: Using Predictive Analytics to Optimize Postal Facilities


Dr. John Brocklebank, Vice President, SAS Solutions OnDemand, SAS

John BrocklebankDr. John Brocklebank, Vice President of SAS Solutions OnDemand, has over 30 years of SAS programming and statistical experience. He was head of Statistical Training and Consulting at SAS from 1981 to 1996. He was Product Development Director for SAS Data Mining from 1997 to 1999. 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. Dr. Brocklebank currently directs the Advanced Analytics Lab, where he provides direct oversight of the SAS Fraud Framework solution.

Dr. Brocklebank is co-author of the book The SAS System for Forecasting Time Series. 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. In 2009, he was awarded the SAS CEO Award of Excellence.

Expert Panel: Effectively Applying Predictive Analytics in the Government


David M. Buchanan, Deputy Director, Office of Community Oriented Policing Services (COPS), U.S. Department of Justice

David BuchananDavid M. Buchanan is the Deputy Director of the Office of Community Oriented Policing Services. In this position, Mr. Buchanan serves as a member of the COPS Office Executive Staff and is responsible for leading the Management Services Directorate of the COPS Office, which includes information technology, finance, budget, procurement, facilities; legislative, intergovernmental and public affairs, and; policy and project management. In 2009, Mr. Buchanan served as acting Director of the COPS Office. In that position he was responsible for awarding $1 billion to state, local and tribal law enforcement to hire or rehire sworn officer positions under the Recovery Act. He also served acting Chief of Staff where led the design and implementation of the COPS Hiring Recovery Program. From 1999 to 2009, Mr. Buchanan was the Assistant Director of COPS Office, responsible for the day to day management of the External Affairs Division at COPS. As Assistant Director, Mr. Buchanan maintained COPS' relationships with Capitol Hill, working closely with the Appropriations and Judiciary Committees. He also worked with law enforcement groups, mayors, police chiefs, sheriffs and the media to advance public safety through community policing.

Mr. Buchanan brought to COPS eight years experience gained as a Legislative Director and Senior Legislative Assistant for two members of the U.S. House of Representatives. In these roles, he worked extensively on and drafted several amendments to the Violent Crime Control and Law Enforcement Act of 1994. He also served as the staff director of the Congressional Law Enforcement Caucus for three years.

Mr. Buchanan is a graduate of Alma College in Michigan, where he received a Bachelors Degree in History and Political Science.

Targeted Grant Outreach and Effective Grants Management through Predictive Analytics


Earl E. Devaney, Chairman, Recovery Accountability and Transparency Board

Earl DevaneyEarl E. Devaney, Chairman of the Recovery Accountability and Transparency Board, is a veteran public official dedicated to accountability and transparency in government.

On February 23, 2009, six days after signing the American Recovery and Reinvestment Act into law, President Obama named Devaney to head the Recovery Board, which is charged with overseeing spending under the $787 billion program. In announcing Devaney's appointment, the President said: "Earl has doggedly pursued waste, fraud and mismanagement. He has the reputation of being one of the best [Inspectors General] that we have in this town…. I can't think of a more tenacious and efficient guardian of the hard-earned tax dollars the American people have entrusted us to wisely invest."

President Bill Clinton appointed Devaney as the Inspector General of the Department of the Interior in 1999. During his tenure at the Office of Inspector General (OIG), he oversaw the public corruption investigations that led to the convictions of Washington lobbyist Jack Abramoff and Interior Deputy Secretary Steven Griles. He also presided over the oil and gas investigations that engulfed the Minerals Management Service from 2007 to 2009.

Devaney's commitment to leadership – he graduated from Georgetown University's prestigious Leadership Coaching Program – is reflected in the OIG's #1 ranking among agency subcomponents in both Strategic Management and Work/Life Balance in the highly regarded "Best Places to Work in the Federal Government" 2009 survey.

Before becoming the Inspector General of the Department of the Interior, Devaney spent eight years as the Director of the Office of Criminal Enforcement, Forensics and Training for the Environmental Protection Agency. In that job, he supervised all of EPA's criminal investigators, the agency's forensics laboratory, and its enforcement training institute. In 1998, he received the Meritorious Presidential Rank Award for outstanding government service.

Devaney began his federal law enforcement career with the Secret Service in 1970, following his graduation from Franklin and Marshall College. At the time of his retirement from the Secret Service in 1991, Devaney was Special Agent-in-Charge of the Fraud Division and was recognized as an international expert in white collar crime.

Keynote: Transparency and Analytics: Valuable Tools to Help Drive Accountability


Luis Beltrán Farías, Director, Risk Models Office, Mexican Tax Administration, Ministry of Finance, Mexico

Luis Farias M.A. in Economics. Catholic University of Chile. Chile. B.A. in Economics. ITESM. Mexico. Luis Beltran has been the Director of the Risk Models Office since November 2009. His main responsibilities are to analyze the evasion and build econometric models to design tax compliance policies; implement and evaluate tax compliance policies based on international best practices; and propose tax code and operational changes based on the risk management findings. Prior to his current position, Mr. Beltran was the sub director of Tax Compliance Office (2006 - 2007) where the analysis of tax revenue information was his main task. He also lead analysis and development of tax evasion risk indicators as a Junior Advisor at the National Audit Office (2005 -2006). He is a Professor of Public Economics at the Universidad Panamericana (2011) and was a Research and Teaching assistant at the Catholic University of Chile (2008-2009).

MORSA IVA: A Model for Fraud Prevention in VAT Refunds in Mexico


John F. Elder, CEO, Elder Research, Inc., and General Chair, PAW-Gov

Dr. John F. ElderDr. John Elder heads a data mining consulting team with offices in Charlottesville, Virginia and Washington DC. Founded in 1995, Elder Research, Inc. focuses on investment, commercial and security applications of advanced analytics, including text mining, forecasting, stock selection, image recognition, process optimization, 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 University's Computational & Applied Mathematics department. Dr. Elder has authored innovative data mining tools, is a frequent keynote speaker, and was 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 with Bob Nisbet and Gary Miner, Handbook of Statistical Analysis & Data Mining Applications, won the PROSE award for Mathematics in 2009. His book with Giovanni Seni, Ensemble Methods in Data Mining: Improving Accuracy through Combining Predictions, was published in February 2010. John is a follower of Christ and the proud father of 5.

Keynote: The High ROI of Predictive Analytics for Innovative Government Agencies Multiple Case Studies: Treasury, SSA, DOD, DHS, and a Federal OIG


Dr. Aaron Ferguson, Technical Director, Cyber and Information Analytics Office, National Security Agency (NSA)

Aaron FergusonDr. Ferguson is Technical Director of the Cyber and Information Analytics Office at the National Security Agency (NSA) where he directs development and deployment of Automated Enterprise Analytics and Information Architectures for the Department of Defense and Intelligence Community. He is a proud graduate of Howard University where he received his Bachelor of Science in Electrical Engineering. He received a Masters from the University of New Haven in Operations Research and a Masters and Doctorate in Applied Mathematics and Statistics from the University of Delaware. Dr. Ferguson is originally from Brooklyn, New York and currently lives in Baltimore County, MD with his wife and two kids. He still plays and coaches basketball and although he is not as good as he used to be, he still accepts challenges from the young kids in his neighborhood. Dr. Ferguson loves to bowl even though he is not very good.

First Order Approximation Methodology (FOAM): What to Do When You Have 2.5 Yottabytes of Data to Analyze


Delmar Foster, Senior Quality Systems & Data Mining Analyst, United Space Alliance

Delmar FosterDelmar Cameron Foster has 23 years of experience in Human Space Flight. Delmar first 12 years was supporting Solid Rocket Boosters (SRB) with USBI and continues his career with United Space Alliance (USA) for the past 11 years. Delmar is Senior Staff to the Director of Launch and Recovery System in Safety Quality and Mission Assurance. Through his aerospace career he has been recognized numerous times; NASA Engineering Safety Center (NESC) Engineering Excellence Award, 2 Space Flight Awareness Award (SFA), 2 NASA group Achievement awards and 2 USA Superior Achievement Recognition Awards (SARA). He is a member of the NESC Data Mining and Trending Working Group (DMTWG). He currently is an adjunct professor at Brevard Community College in the Computer Science Department. Delmar has a MBA majoring in Applied Computer Science, from NCU, MA Computer Resources and Information Management from Webster University, and BA from Warner Southern.

Achieving Engineering Excellence through Text Mining


Isaiah Goodall, Director, Elder Research, Program Chair, PAW-Gov

Isaiah GoodallIsaiah Goodall heads the Washington, DC office of Elder Research, Inc., the US’s leading data mining consulting firm, headquartered in Charlottesville, Virginia (www.datamininglab.com).

As the director of the DC office, Isaiah heads business development for Elder Research and manages client relationships at several Federal government agencies and private corporations to provide fraud detection, case allocation, and Human Resources analytics. Mr. Goodall also managed a large and very successful warranty fraud detection effort for a world-class consumer electronics firm. Isaiah has spoken about fraud detection and data mining at conferences including Predictive Analytics World (www.predictiveanalyticsworld.com) and the Association of Government Accountants (www.agacgfm.org). Prior to Elder Research, Isaiah co-founded RelayFoods.com, a novel, growing e-commerce company in Charlottesville and Richmond, Virginia.  Isaiah graduated from Virginia Tech summa cum laude with a B.S. in Business Management.

Welcome


Nicholas Gruen, Chairman, Kaggle

Isaiah GoodallNicholas Gruen is CEO and founder of Lateral Economics and Chairman of Kaggle and the Australian Centre for Social Innovation and Patron of the Australian Digital Alliance.

He was a member of the Australia's Federal Review into Innovation in 2008 and Thinker in Residence in Australia's Department of Education, Employment and Workplace Relations (DEEWR) in 2010.

He chaired the Federal Government's landmark Government 2.0 Taskforce in 2009 which garnered high praise from around the world.

He is a frequent columnist for various Australian daily papers, and has been published in The Best Australian Political Writing and Best Australian Essays. He is a prolific blogger at Club Troppo He is a strong public advocate for economic reform, data driven policy, innovation and open government.

Big Data, Crowdsourcing and Innovation in Government: With Case Studies from NASA to the NSW Traffic Authority


Bill Haffey, Manager, Federal Solutions Architect Group, IBM

William HaffeyWilliam J. Haffey has been with SPSS, an IBM company, since 1992 and now manages the Solution Architects for the Federal Group.

Prior to his employment at IBM SPSS, Mr Haffey served with the Department of Defense in a variety of assignments. He was on the faculty of the Mathematics and Science Division, United States Naval Academy, and served as the Director of the Marine Corps' Computer Sciences School. Other assignments included Information Systems Management Officer for Marine Forces in the Western Pacific, analyst with the Operational Test and Evaluation Activity, Quantico, VA, and manpower analyst, Headquarters, Marine Corps.

While with IBM SPSS, Mr Haffey has been involved in data analysis and modeling projects for several Federal government agencies to include the Department of Homeland Security, Department of Health and Human Services, and the Department of the Treasury, as well as a number of health, revenue, and law enforcement agencies at the state, local, and county government level.

Mr Haffey earned a Bachelors degree in Mathematics from The Ohio State University and a Masters degree in Operations Research from the Naval Postgraduate School, Monterey, CA.

Expert Panel: Effectively Applying Predictive Analytics in the Government


Tom Harris, World Wide Industry Solutions Leader, Government and Education, IBM Business Analytics

Tom HarrisTom Harris is the World Wide Industry Solutions Leader for Business Analytics in Public Sector . He has significant experience working with business intelligence, content management and database technologies. He is often called upon to speak with customers and industry analysts representing IBM on these subjects.

Most recently, Tom has been leading the development of solutions and blueprints utilizing IBM's Cognos and SPSS tools in the government, education and health care industries. He works closely with key customers to demonstrate how these technologies can add value to their organizations.

Prior to joining IBM, Tom held technical sales and mangement positions with Oracle/Hyperion, Interwoven, and SAP. He holds a Masters in Information Systems Technology from The George Washington University.Tom lives in Laytonsville, Maryland with his wife and three children.

Sponsored Session: IBM


Dr. Thomas Hill, Vice President of Analytics, StatSoft, Inc.

Dr. Thomas Hill PhDThomas Hill is the Vice President for Analytic Solutions at StatSoft Inc. where he has been involved for over 20 years in the development of data analysis and data mining algorithms, and the delivery of analytic solutions. Dr. Hill also taught data analysis and data mining courses at The University of Tulsa for over 10 years, and has received numerous academic grants and awards from the National Science Foundation, the National Institute of Health, the Center for Innovation Management, and other institutions. He has completed diverse consulting projects with companies from practically all industries, and has worked with some of the leading insurance companies on identifying and refining effective data and text mining solutions for claims scoring and pricing, anomaly (fraud) detection, and various other applications. He is the author (with Paul Lewicki, 2005) of Statistics: Methods and Applications, the Electronic Statistics Textbook (a popular on-line resource on statistics and data mining), has published widely on innovative applications of data mining and predictive analytics, contributed numerous tutorials to the Handbook of Statistical Analysis and Data Mining Applications published by Academic Press in 2009, and is a co-author of Practical Text Mining And Statistical Analysis for Non-Structured Text Data Applications to be published by Academic Press early in 2011.

Expert Panel: Effectively Applying Predictive Analytics in the Government


Stephen Hollifield, Information Services Manager, Richmond Police Department

Stephen HollifieldStephen Hollifield is the CIO for the Richmond Police department in Richmond, Virginia and a Strategic Business/IT Consultant. He has designed Enterprise Architectures in various industries, such as law enforcement, finance, non-profit charity and technology. He has worked in the IT industry for over 18 years, conducting engagements in enterprise business process modeling, strategic/tactical business planning, enterprise business architecture and IT architecture integration, strategic frameworks integration with systems development methodologies, enterprise business requirements analysis, and IT service offering enhancements.

Curbing Crime with Predictive Analytics


Congressman Darrell Issa, Chairman, House Committee on Oversight and Government Reform

Darrell IssaCongressman Darrell Issa represents the people of California's 49th Congressional District in the United States House of Representatives, a seat he has held since 2001. The 49th District includes Camp Pendleton, the largest Marine Corps training facility in the United States, and the northern portions of San Diego County and southwest Riverside County.

At the height of his career in business, Issa served as CEO of California-based Directed Electronics, a company that Issa founded and built in the mid-1990s to become the nation's largest manufacturer of vehicle anti-theft devices, including the highly-successful Viper system.

Issa currently is a member of the House Judiciary Committee and the Oversight and Government Reform Committee, where he serves as the Chairman. Recognizing his success as a Congressional watchdog of taxpayer dollars, at the beginning of the 111th Congress House Republicans tapped Issa to serve as the top Republican on the House Oversight and Government Reform Committee, which is the main investigative committee of the United States House of Representatives charged with the protecting the interests of U.S. taxpayers and eliminating waste, fraud and abuse in the federal bureaucracy.

Keynote: Fighting Waste, Fraud and Abuse with DATA


Bryan Jones, Director, Data Mining Group, USPS OIG, Office of Investigations

Bryan JonesBryan began his career with the US Postal Service in 1984 as a mailhandler and for 17 years worked in numerous functional areas before becoming the Accounting Manager for the Northern Virginia District. Bryan joined the USPS OIG as an audit- evaluator in 2001 where he worked as a financial and program auditor until 2004 when he became the manager of Human Resources.Since coming to the OIG Bryan has worked in five different OIG component areas including Mission Support, Audit, Investigations, the Risk Analysis Research Center and now works for the Chief Technology Officer. Bryan is the Director of the USPS OIG Data Mining Group which is comprised of auditors, investigators, data modelers and IT professionals.

Fighting the Good Fraud Fight: USPS OIG Contract Fraud Detection


John Kam, Senior Analyst, Office of Research, Internal Revenue Service

John KamJohn Kam is a member of the IRS Office of Research Compliance Analysis and Modeling Group. He joined the IRS as a Mathematical Statistician in 1977, and had served in various professional positions including Operations Research, Computer Science, and Artificial Intelligence. Prior to joining the IRS, he was a Graduate Teaching Fellow at George Washington University (GWU) Dept. of Statistics, and worked as a Research Assistant at the GWU Biostatistics Center. John graduated from SUNY at Buffalo in 1974 with a Bachelor of Science degree in Mathematics, and received a Master of Science degree in Applied Statistics from GWU in 1976. John co-authored a paper titled "Knowledge Acquisition for an Internal Revenue Service Classification System" that was published in the March 1989 IEEE Proceedings of the Annual AI Systems in Government Conference, and wrote an article for the 1992 IRS Research Bulletin titled "The Automated Issue Identification System (AIIS): An Overview".

IRS Predictive Analytics Panel


Dr. Juergen Klenk, Principal, Booz Allen Hamilton

Dr. Juergen KlenkDr. Juergen Klenk, a Principal with Booz Allen Hamilton, has more than 20 years of professional experience managing and leading projects in the public and commercial health markets. His professional work spans fields such as drug safety, infectious diseases, clinical trials, comparative effectiveness research, claims data analysis, and human behavior modeling. He is experienced in employing existing and developing novel advanced analytics techniques, covering areas such as statistical analysis, predictive modeling, and simulation.

During his tenure at IBM Research, Dr. Klenk led the research concerning a novel text analytics system. His research and publications helped advance the field of text analysis beyond the then traditional statistics-based approach. In his subsequent employment at bioinformatics company Definiens AG, Dr. Klenk led development and commercialization of production-grade implementations of the text mining system he had invented as well as a biomedical image analysis system.

At Booz Allen, Dr. Klenk leads the Health Analytics business focused on providing advanced analytics services to government, nonprofit, and commercial health clients for improved decision making. He is an experienced senior program manager and project leader.

Dr. Klenk holds a Ph.D. in mathematics and a M.S. in physics and mathematics from Tuebingen University. He also holds a Six Sigma Green Belt and an IBM MicroMBA certification. He spent his academic career at Tuebingen University, Yale University, and the Australian National University.

Expert Panel: Effectively Applying Predictive Analytics in the Government


Dr. Georges Korsun, Director, Deloitte Financial Advisory Services LLP

Dr Georges KorsunDr. Korsun is an economist with substantial experience in the statistical analysis of large data sets and in designing sampling strategies for commercial and research applications, particularly in the financial sector and Anti-Money Laundering (AML). He is a leader of the US AML Analytics practice, having directed dozens of engagement related to AML monitoring system deployment and optimization, customer and institutional risk profiling and rating, transaction reviews, and analytics strategy.

Expert Panel: Effectively Applying Predictive Analytics in the Government


Satish Lalchand, Senior Manager, Analytic and Forensic Technology Consulting

Satish LalchandSatish Lalchand is a Senior Manager at Deloitte Financial Advisory Services LLP, specializing in advanced analytics, business rules development and modeling. His areas of expertise includes: financial investigations, transactional fraud, waste and abuse and anti-money laundering investigations. He has a master's degree in computer information systems and a bachelor's degree in economics.

Sponsored Session: Advanced analytics in anomaly detection and electronic discovery


Melissa Laine, Analyst, Office of Research, Analysis, and Statistics (RAS), Internal Revenue Service

Melissa LaineMelissa Laine is an analyst in the Office of Research, Analysis, and Statistics (RAS) at the Internal Revenue Service. She has been with the IRS since 2006. Ms. Laine's main responsibility is to develop and implement predictive analytic tools that increase the efficiency and effectiveness of IRS operations, specifically in the area of paid-preparer regulation.

The findings from IRS' project efforts with NetReveal are gaining interest both within and outside of IRS. For example, the project methodology and progress were shared with senior leaders from the Canada Revenue Agency (CRA) and Revenue Quebec.

Ms. Laine received her undergraduate degree in Economics from Gustavus Adolphus College in St. Peter, MN and her Master's in Public Administration from American University in Washington, D.C.

IRS Predictive Analytics Panel


Bertis Little, Professor of Computer Science and Mathematics, Tarleton State University

Bertus Little "Bert" (Bertis Britt) Little, Ph.D., is Associate Vice President for Academic Research, Professor of Computer Science and Mathematics in the Departments of Physics and Engineering and of Mathematics, director of Texas Engineering Experiment Station (TEES), director of Texas Data Mining Research Institute (TDMRI), Executive Director of the Center for Agribusiness Excellence (CAE) at Tarleton State University – Texas A&M University System in Stephenville, Texas. He is also senior medical research scientist in Division of Medical Services – Cardiology and Department of Pharmacy at the Dallas VA Medical Center. He is married (Beverly DelHomme, JD) and has one child (BBL II) who is majoring in computer science.

Previously, Dr. Little was Associate Professor of Obstetrics and Gynecology, Division of Clinical Genetics at the University of Texas Southwestern Medical Center.

He has published more than 130 peer reviewed medical and scientific articles, more than three dozen book chapters, and five books (obstetrical pharmacology, treatment of psychiatric disorders in pregnancy, data mining). Current research includes pharmacogenetics of medical therapy following interventional cardiology procedures, satellite data applications for agricultural risk management, lead exposure during childhood (US, Mexico, Poland, China), childhood obesity (United Arab Emirates, Mexico, US) and population genetics of Zapotec Indian genetic isolate in the Valley of Oaxaca, southern Mexico.

He earned a Ph.D. in Physical Anthropology (Human Genetics) and Applied Mathematics from The University of Texas- Austin, a M.A. from Ball State University in Primatology, and a B.A. in Anthropology from Appalachian State University.

US Department of Agriculture Risk Management Agency's Crop Insurance Data Mining Program


Ginger Lowry, Senior Research Analyst, Texas Comptroller of Public Accounts

Ginger LowryGinger Lowry, Senior Research Analyst at the Texas Comptroller of Public Accounts in Austin, Texas brings 20 years of combined public and private sector business analysis, economic impact studies and management information technology experience involving large volume data preparation, econometric analysis and text-mining methodologies. Ms. Lowry has managed diverse projects involving cross-agency economic impact analysis, tax revenue forecasting and web-based government expenditures reporting. Her background includes work on conversion of state regulatory insurance fraud software, implementation of a global semiconductor manufacturing knowledge system and forecasting the potential fiscal impact of tax incentives for the moving media industry and other workforce development initiatives. A state expenditures subject matter expert, Ms. Lowry previously worked for Accenture, Tokyo Electron America, Inc., Texas Department of Insurance and the Texas Legislative Budget Board. She has a Master of Public Affairs from the Lyndon B. Johnson School of Public Affairs.

Moving Media Industry Workforce Analytics: A Texas Case


Patricia McGuire, Deputy Director, Research, Analysis, and Statistics, Internal Revenue Service

Patricia McGuire As Deputy Director of the Research, Analysis, and Statistics Office (RAS) at the Internal Revenue Service, Pat McGuire is responsible for conducting research and implementing findings from analyses that support senior leaders in their efforts to provide U.S. taxpayers with an efficient and effective tax system. Pat was selected as the Deputy Director of RAS in 2010.

Prior to her promotion to Deputy Director, Pat served as Director, Office of Program Evaluation and Risk Analysis (OPERA) where she led a series of complex data analytically-based initiatives. These initiatives included projects incorporating sophisticated agent-based modeling and data mining techniques to assess taxpayer behavior. In addition she led an effort to assess the traits of non-filers in an effort to initiate different enforcement treatments in order to bring them into compliance.

Before joining IRS, Pat served as an Assistance Director at the U.S. Government Accountability Office (GAO) in the Tax Policy and Administration Group. While at GAO, Pat led a variety of studies encompassing both operational reviews of IRS programs and analysis of policies.

When not working, Pat enjoys tennis and reading. She lives in Rockville, Maryland with her husband James.

IRS Predictive Analytics Panel


Antonia de Medinaceli, Director of Business Analytics and Fraud Detection, Elder Research, Inc.

Antonia MedinaceliDirector of Business Analytics and Fraud Detection, Antonia de Medinaceli has been the technical lead on dozens of data mining projects, building predictive models for ERI clients in the financial, pharmaceutical, retail, insurance, and other industries. She is expert in fraud detection and prevention, and has led several successful projects enabling large organizations to detect and act on anomalous behavior. Antonia has extensive experience teaching SPSS and SAS software to several audiences, and has also lectured on the latest analytic concepts and techniques, co-teaching Elder Research's annual data mining course. She is a frequent presenter at conferences, and was the keynote speaker at a SAS conference in 2009. In the business development arena, Antonia has been very successful -- with both government and commercial clients -- at converting their interest in analytics into multi-stage, quantifiable projects with tangible deliverables. Ms. de Medinaceli is fluent in French, and has a working knowledge of Spanish.

Fighting the Good Fraud Fight: USPS OIG Contract Fraud Detection


Jeremy Todd Reed, Chief, Analytical Design Branch, Food Safety Inspection Service, USDA

Jeremy Todd ReedJeremy "Todd" Reed is the chief of the Analytical Design Branch, Data Analysis and Integration Group (DAIG), Office of Data Integration and Food Protection (ODIFP), Food Safety Inspection Service (FSIS). He is the FSIS lead on the analytics portion of the Public Health Information System (PHIS), which includes sampling, alerts, reporting, and predictive analytics. The DAIG coordinates FSIS data collection, analysis, and integration activities.

Before joining FSIS, Mr. Reed worked as a program manager and director of the BAE Systems advanced analytics team, where he simultaneously managed multiple task orders on multiple contract vehicles and directly supported the Department of Defense as the lead of the Large-Scale Advanced Analytics team at Joint IED Defeat Organization (JIEDDO), Counter-IED Operations Integration Center (COIC).

Mr. Reed has education in Chinese, mathematics, and political science, including an MA, Ph.D. ABD in political science and a BA in interdisciplinary studies (Chinese language and Chinese history). He is the co-author of The ETIM: China's Islamic Militants and the Global Terrorist Threat (Praeger, 2010).

Text Mining and Food Safety: Using Data to Proactively Protect the Nation's Food Supply


Bailey Spencer, Senior Sales Manager, SAS Federal LLC

Bailey SpencerBailey Spencer is Senior Sales Manager for Federal Civilian & Homeland Security Sales for SAS Federal LLC. Prior to joining SAS, Mr. Spencer served as General Manager and Vice President – Public Sector for Open Text, Vice President of Enterprise Application Services at Unisys Corporation, and Director, Federal Civilian and Homeland Security Sales for SAP Public Services, Inc. Mr. Spencer spent 8 years on Capitol Hill in professional staff positions with the House Telecommunications and Finance subcommittee and the bipartisan New England Congressional Caucus. Mr. Spencer earned a Masters in Public Administration and was a Littauer Fellow at the Harvard's John F. Kennedy School of Government and has a B.A. in Political Science from Colgate University.

Sponsored Session: Advanced Analytical Solutions in Government


Dave Vennergrund, Director of Business Analytics, Delta Solutions

Dave VennergrundDave Vennergrund is the Director of Delta Solutions Business Analytics Practice with more than twenty years of predictive analytics management, development and research experience. Dave is responsible for the development and execution of the Business Analytics portfolio across Delta Solutions.

Dave has expert knowledge in fraud detection, predictive analytics, data mining, business intelligence, data warehousing, data management, data analysis and IT management. He has conceived, designed, developed, operated, and maintained data management and analytic systems.

Dave created and led the Data Mining Center of Excellence (2000), Business Intelligence Center (2004), and Business Analytics Practice (2010). His practices have has successfully executed a portfolio of dozens of projects, staffed by data miners, statisticians, database modelers, and business intelligence application developers. His predictive analytics solutions have been applied across the federal space including the DOD, IRS, CMS, VA, CDC, US AID, USDA, and DOI.

Workforce Analytics: Predicting Retirement, Resignations, and More


David Williams, Inspector General, USPS OIG

David WilliamsDavid C. Williams was sworn in as the second independent Inspector General (IG) for the U.S. Postal Service on August 20, 2003. Williams is responsible for a staff of more than 1,100 employees — located in major offices nationwide — that conducts independent audits and investigations for the largest civilian federal agency that has $67 billion in annual revenues, a workforce of 671,687 employees and contractors and nearly 32,528 facilities.

The office is under the general supervision of the nine Postal Service governors and is not subject to any other Postal Service supervision.

In his last position, Williams served as the Deputy Assistant Administrator for Aviation Operations at the Transportation Security Administration (TSA) from August 2002 until August 2003, where he managed the Aviation Inspection Program at federalized airports.

Williams has served as IG for five federal agencies. He was first appointed by President George Bush to serve as IG for the U.S. Nuclear Regulatory Commission from 1989 to 1996. President William Clinton next appointed him IG for the Social Security Administration from 1996 to 1998, and then as IG for of the Department of the Treasury in 1998. In 1999, President Clinton named him as the first IG for Tax Administration of the Department of Treasury, where he directed a staff of 1,050 to detect fraud, waste and abuse. In 2001 President George W. Bush named Williams the Acting IG for HUD, while he was also serving at the Department of the Treasury.

Williams served in the U.S. Army Military Intelligence and began his civilian federal career as a special agent with the U.S. Secret Service. Moving up the career ladder, he served as Director of Operations in the Office of Labor Racketeering at the Department of Labor; the President’s Commission on Organized Crime; and as Director of the Office of Special Investigations at the U.S. General Accounting Office. Williams is the recipient of the U.S. Bronze Star and the Vietnamese Medal of Honor for service in Vietnam.

A native of Illinois, Williams graduated from Southern Illinois University, Edwardsville, Ill., and received his Advanced Degree in Education and a Masters in Education from the University of Illinois in Champaign, Ill. He also attended the U.S. Military Intelligence Academy, the Federal Law Enforcement Training Center and the U.S. Secret Service Training Academy.

Keynote: Pursuit Through Cyberspace – Predictive Analytics


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