Speakers

Predictive Analytics World for Government Washington, DC 2018

September 17-21, 2018

Peter Aiken
Peter Aiken

Founding Director

Peter Aiken is an acknowledged Data Management (DM) authority. As a practicing data consultant, professor, author and researcher, he has studied DM for more than 30 years.  International recognition has come from assisting more than 150 organizations in 30 countries including some of the world's most important.  He is a dynamic presence at events and author of 10 books and multiple publications, including his latest on Data Strategy.  Peter also hosts the longest running and most successful webinar series dedicated to DM (hosted by dataversity.net).  In 1999, he founded Data Blueprint, a consulting firm that helps organizations leverage data for profit, improvement, competitive advantage and operational efficiencies.  He is also Associate Professor of Information Systems at Virginia Commonwealth University (VCU), past President of the International Data Management Association (DAMA-I) and Associate Director of the MIT International Society of Chief Data Officers.  

Richard Boire
Richard Boire

Senior Vice President

Richard Boire's experience in predictive analytics and data science dates back to 1983, when he received an MBA from Concordia University in Finance and Statistics. 

His initial experience at organizations such as Reader’s Digest and American Express allowed  him to become a pioneer in the application of predictive modelling technology for all database and CRM type marketing programs. This extended to the introduction of models which targeted the acquisition of new customers based on return on investment.

With this experience, Richard formed his own consulting company back in 1994 which is now called the Boire Filler Group, a Canadian leader in offering  analytical and database services to companies seeking solutions to their existing predictive analytics or database marketing challenges.

Richard is a recognized authority on predictive analytics and is among a very few, select top five experts in this field in Canada, with expertise and knowledge that is difficult, if not impossible to replicate in Canada. This expertise has evolved into international speaking assignments and workshop seminars in the U.S., England, Eastern Europe, and Southeast Asia. 

Within Canada, he gives seminars on segmentation and predictive analytics for such organizations as Canadian Marketing Association (CMA), Direct Marketing News, Direct Marketing Association Toronto, Association for Advanced Relationship Marketing (AARM) and Predictive Analytics World (PAW).  His written articles have appeared in numerous Canadian  publications such as  Direct Marketing News, Strategy Magazine, and Marketing Magazine. He has taught applied statistics, data mining and database marketing at a variety of institutions across Canada which include University of Toronto, George Brown College, Seneca College, and currently Centennial College. Richard was  Chair at the CMA's Customer Insight and Analytics Committee and  sat on the CMA's Board of Directors from 2009-2012. He has chaired numerous full day conferences on behalf of the CMA (the 2000 Database and Technology Seminar as well as the  2002 Database and Technology Seminar and the first-ever Customer Profitability Conference  in 2005. He has most recently chaired the Predictive Analytics World conferences in both 2013 and 2014 which were held in Toronto.

He has co-authored white papers on the following topics: "Best Practices in Data Mining" as well as "Customer Profitability:  The State of Evolution among Canadian Companies."  In Oct. of 2014, his new book on "Data Mining for Managers-How to use Data (Big and Small) to Solve Business Problems" was published by Palgrave Macmillian.  In March of 2016, Boire Filler Group was acquired by Environics Analytics where his current role is senior vice-president of innovation.

Marie Breton
Marie Breton

Solutions Engineer

Marie Breton joined Alteryx as a Solutions Engineer for its newly formed Public-Sector Division.  She is responsible for proposing data analytics solutions, and she demonstrates the features and capabilities of the Alteryx Platform for business leaders.  Marie trains business analysts to develop and create end-to-end workflows that incorporate data sources, data preparation tasks, data blending, and advanced analytics.

Prior to joining Alteryx, Marie provided support for Dell EMC’s Federal Consulting Services, developing solutions and roadmaps that address clients’ unique challenges and requirements to help advance their technical and business analytical maturity.

Marie obtained her master’s degree in predictive analytics from Northwestern University.

Ethan Chen
Ethan Chen

Director, Division of Data Management Services and Solutions

FDA CDER OSP Office of Business Informatics

Ethan Chen provides overall leadership to CDER in streamlining electronic and traditional submissions and delivering solutions to enable rapid adoption of emerging electronic data standards. Since joining the FDA in 2012, Mr. Chen has led the several critical initiatives as the CDER Informatics Architect, including Data Management and Business Intelligence programs. Ethan has over 20-years’ experience in Data Management, Enterprise Architecture, Solution Development and System Integration.

Ethan Chen is speaker of the following session:

Jim Cochrane
Jim Cochrane

Retiree

Jim Cochrane recently retired from The United States Postal Service after an over 40 year career with that agency. He was an Officer of the agency for over 10 years and was a member of the Executive Leadership Team for the last six years. His final position at USPS was as the Chief Customer, Sales and Marketing Officer where he directed all Marketing, Sales and Customer Value creation and was responsible for over $70 billion in annual revenue. He developed last mile strategies and shipping solutions that enabled the growth of e-commerce in this country.

Prior to that role he was the Chief Information Officer. In that role he directed one of the largest IT infrastructures in the US. In addition, he directed all engineering and development, payment systems, processing automation and robotics. As CIO he developed a digital strategy that created an Information rich network that leveraged Inteligent Mail barcodes, and billions of tracking events, to track and manage internal operations, and provide increased visibility for customers.

His career background includes extensive knowledge of labor, operations management, logistics, data analytics, digital technology as well as marketing. Jim has keynoted on data and analytics at many industry events, including, Association of National Advertisers, HP Vertica Users Conference, National Postal Forum, Parcel Forum and many other conferences.

Jim Cochrane is moderator of the following session:

Tom Davenport
Tom Davenport

Independent Senior Advisor, Deloitte Consulting, LLP, Professor of Information Technology and Management, Babson College and Co-Founder of the International Institute for Analytics

Tom Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Center for Digital Business. He is an independent senior advisor to Deloitte Analytics, Deloitte Consulting LLP. He collaborates with Deloitte thought leaders on all things related to business analytics, from the potential of cognitive technologies to industry-focused explorations and outcomes. Covering topics from emerging technologies to innovative business applications, Tom's Deloitte University Press series reveals leading-edge thinking on analytics and cognitive technology.
 
Connect with Tom on LinkedIn and Twitter

Tom Davenport is speaker of the following session:

Jonathan DeRuiter
Jonathan DeRuiter

Data Science Manager

NFA

Jonathan DeRuiter is a Data Science Manager at the NFA, a regulatory body for the U.S. derivatives markets.  He leads a team of data scientists in charge of model development and quantitative research with a focus on fraud and risk models. He founded the predictive modeling program at the NFA, developing it into a mature data science team. 

Jonathan has over 10 years of experience in financial market regulation, including prior positions conducting examinations and fraud investigations.

Jonathan has a BA in Finance from Michigan State University, an MS in Data Science from Northwestern University, and is doing continued graduate studies in Computer Science at DePaul University.

John Elder Ph.D.
John Elder Ph.D.

Founder & Chair

John Elder chairs America's most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina and Washington DC. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia, and was named by President Bush to serve 5 years on a panel to guide technology for national security.

Wayne Folta
Wayne Folta

Data Scientist

Data Scientist Wayne Folta enjoys diving into a new problem space, working with customers to clarify their needs and objectives, and using sophisticated tools and analysis to turn their data into insights. His major technical interests are time-series and predictive analytics. Previously, Wayne developed software in the intelligence community as a government employee and a contractor, and worked in the non-profit world as a video producer. Wayne volunteers in his community, teaching and providing statistical consulting for the local library and others.

Wayne earned a Master's Degree in Computer Science (Artificial Intelligence) from George Mason University, and is also an alumnus of the University of Maryland and the Rochester Institute of Technology.

Wayne enjoys snowboarding, the ancient game of Go, and learning R packages and other statistical tools.

Wayne Folta is speaker of the following session:

Hudson Hollister
Hudson Hollister

Executive Director

Hudson Hollister is the founder and Executive Director of the Data Coalition, a U.S. trade association representing technology and consulting firms supporting open data in government. The Data Coalition is the main advocacy group for the implementation of the DATA Act of 2014, transforming the U.S. federal government's spending information into standardized, open data. The Data Coalition also supports data standards to transform regulatory compliance, legislative mandates, and the whole landscape of government information. 

Hudson is also the founder of the Data Foundation, a nonprofit think tank seeking to define an open future for both government and private-sector data. The Data Foundation is responsible for the leading research on open data in federal spending and in regulatory compliance. The Data Foundation hosts the largest annual open data conference in the United States.

Prior to founding the Data Coalition and the Data Foundation, Hudson served as counsel to the Committee on Oversight and Government Reform of the U.S. House of Representatives and as an attorney fellow in the Office of Interactive Disclosure at the Securities and Exchange Commission. Before his government service, he was a securities litigator in the Chicago office of Latham & Watkins LLP.

Hudson earned a law degree from Northwestern University and a bachelor's degree in political science and communications from the University of St. Francis.

Hudson Hollister is speaker of the following session:

Carl Hoover PhD
Carl Hoover PhD

Chief Technology Officer

Carl Hoover has led dozens of data science projects while working with the leading analytics firm Elder Research. His diverse experience includes work in security, counterintelligence, psychology, fraud, finance, insurance, pharmaceuticals, avionics, manufacturing, and robotics.  Most of his recent technical work involves triage and ranking models for human-centric prioritization tasks.  Over his decade of work with Elder, he's played just about every role in the data science lifecycle including data wrangler, scientist, tech lead, project manager, business manager, executive, and even client.  As Chief Technology Officer, Carl leads long-term technical strategy, manages an R&D portfolio and oversees a technical advisory committee focused on cutting-edge data science research and practice.  Carl is a contractor with the University of Missouri College of Engineering where he teaches graduate-level courses for NGA's Program of Study in Data Science.  Dr. Hoover earned M.S. and Ph.D. degrees from Clarkson University and a B.S. degree from the University of Virginia in Mechanical Engineering.

Carl Hoover PhD is speaker of the following session:

Bryan Jones
Bryan Jones

Owner and Principal Consultant

Strategy First Analytics

Bryan Jones, Owner and Principal Consultant of Strategy First Analytics, is a former Elder Research and federal government employee with over 33 years of experience successfully managing and leading programs and people. Bryan’s focus is to translate the value of analytics and develop an analytics business strategy for government agencies and commercial business operations.

Bryan was the Deputy Assistant Inspector General for the US Postal Service’s Office of Inspector General where he developed their first data analytics unit.  This is where he discovered his passion: the combining of business knowledge with the technology and science of data mining to help transform the way government does business.

Under Bryan's leadership the data analytics team grew from 6 employees to 40, from an annual budget of $0 to over $3.5 million, and was elevated from a small support group to directly supporting executive leadership.

With Return on Investment of over 10-fold and with analytics driving strategic planning at USPS OIG, many other government agencies benchmarked Bryan’s work and now use his blueprint to build their own capabilities or to improve their analytics operations in ways that are measurable and transformational.

Bryan’s education is as diverse as his career with his latest studies in leadership and management coming from the Lincoln Leadership Institute and the University of Mary Washington.

Bryan Jones is speaker of the following session:

Raman Kannan
Raman Kannan

Adjunct

Raman Kannan is a teaching practitioner in the domain of software architecture, enterprise systems for mining massive datasets (100gb+). He currently teaches Big Data for the CS department at the NYU Tandon School of Engineering. Raman has been affiliated with NYU since 2011. He has been engaged in text analytics and trayditional data analysis over non-trivial datasets since 1995 in litigation, financial services and financial risk management. His passion is anti-API model where models visit data rather than moving data to compute servers, combining known technologies.

Raman Kannan is speaker of the following session:

Vishal Kapur
Vishal Kapur

Principal

Vishal Kapur is a principal in Deloitte's Federal Financial Regulatory practice and has advised clients such as the Consumer Financial Protection Bureau, Federal Deposit Insurance Corporation, Office of the Comptroller of the Currency, and the Office of Financial Research in several mission modernization initiatives. Vishal has extensive experience in implementing enabling technologies spanning mobile, digital, analytics and mission specific applications to support his client's mission objectives. As a leader of Deloitte's Federal Analytics practice, Vishal is actively engaged in the industry and with his clients in areas such as advanced analytics, big data, text mining, and large scale data management disciplines. Vishal received a master's degree in Mathematics and Computer Science from the Indian Institute of Technology, India.

Vishal Kapur is moderator of the following session:

LeAnna Kent
LeAnna Kent

Data Scientist

Information about LeAnna Kent's session will follow soon.

Juergen A. Klenk PhD
Juergen A. Klenk PhD

Principal

Dr. Juergen Klenk is a principal with Deloitte Consulting LLP’s Monitor Strategy practice. He focuses on advancing Precision Medicine and Data Science in health care and biomedical research through the unique lens of his combined formal scientific training and entrepreneurial experience. Dr. Klenk has authored publications, patented inventions, spoken at international conferences, and he has started up, grown, and established innovative health analytics businesses. Throughout his career, he has worked with leading health organizations, including government health agencies, academic medical centers, pharmaceutical and biotech companies, health care providers, and non-profit organizations. His areas of specialty include strategy and business operations, digital transformation, data analytics, and science & technology. Dr. Klenk holds a Ph.D. in Mathematics and a Master’s degree in Mathematics and Physics from Eberhard-Karls-Universität Tübingen.

Juergen A. Klenk PhD is moderator of the following session:

Timothy J. Kropp
Timothy J. Kropp

Senior Advisor to the Chief Data Officer

US Department of Health and Human Services, Office of the Inspector General

Timothy J. Kropp is the Senior Advisor to the Chief Data Officer at US Department of Health and Human Services, Office of the Inspector General.

He has led organization development and transition management at multiple organizations and has overseen the development and deployment of major investments in tools, technologies, and services for multiple organizations. He also has experience with development and implementation of enterprise-wide IT solutions, including the development and negotiating of data standards, visualizations, data warehousing, user engagement and requirements analysis.  Tim has served as the Deputy Director at FDA/CDER’s Office of Computational Science (OCS) and in FDA’s Office of the Commissioner as an advisor to the Chief Scientist. Tim earned his PhD in Toxicology from the University of Michigan.

Timothy J. Kropp is speaker of the following session:

Corey Long
Corey Long

Manager

Corey Long is a Manger in Deloitte Consulting’s Government & Public Services Strategy & Analytics practice with over nine years of experience providing financial management services to various civilian agencies in the federal government.  Corey’s areas of expertise include process automation, financial modeling and analytics, data integration, and executive dashboarding.  His blend of financial background and technical expertise provides a unique skillset in providing services to his federal clients and managing project teams.

Qazaleh Mirsharif
Qazaleh Mirsharif

Machine Learning Scientist, Computer Vision

Qazaleh Mirsharif is an applied researcher currently employed as machine learning scientist at Figure Eight, applying artificial intelligence, in particular computer vision, to a broad range of real-world problems. She earned her PhD in computer science from University of Houston, Texas while focusing on building computer vision models for studying and evaluating the development of visual attention in infants. She received her MSc in artificial intelligence focusing on processing retinal images to help with early detection of eye diseases, in particular diabetic retinopathy. She currently works on a large variety of projects applying computer vision techniques to digitize on-street parking rules, detect and classify objects in drone and satellite imagery, and rate gif images, just to name a few. 

Qazaleh Mirsharif is speaker of the following session:

Michael Thurber
Michael Thurber

Lead Data Scientist

Mike Thurber is the Lead Data Scientist in Elder Research's Commercial Analytics Group working across multiple teams and industries – including finance, retail, energy, and telecom – to deliver information products that drive business value.  Mike’s primary focus is healthcare and insurance, where his projects range from predicting extreme payouts on long-term care claims, and identifying healthcare provider fraud, to measuring the effect of Cesarean delivery on infant health. His expertise in collaboration, data exploration, predictive modeling and rigorous testing, and in remediating the selection bias common to analytic algorithms, creates confidence in the actions recommended by the analytic products of his team.

Mike earned a BS degree in Chemical Engineering from Brigham Young University and a Master's degree in Statistics from Virginia Commonwealth University. For the last four years, Mike has been teaching principles and best practices of predictive modeling to a broad audience of emerging data scientists.

Michael Thurber is speaker of the following session:

Daniel Turse
Daniel Turse

Alcohol and Tobacco Tax and Trade Bureau

Daniel Turse has been providing end-to-end analytic solutions for over six years in a diverse array of areas. With experience ranging from helping a mortgage lender predict turnaround times (private sector), to predicting bankruptcy probabilities (public sector), to forecasting bus wait times and the using NLP to explore the “rattiest” areas of DC (both volunteer data science), Daniel’s focus is solving problems with data. Daniel is passionate about learning and applying analytic methods, and often goes though waves of experimenting with a new algorithm or toolset – his current concentrations are anomaly detection, and using machine learning and deep learning to predict events dependent on time.

Outside of analytics, Daniel enjoys traveling (he speaks five languages, in addition to four programming languages), cooking, dining, and spending time with his wife and six-month-old son.

David Williams
David Williams

Board of Governors (Nominated)

David 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.

David Williams is speaker of the following session:

Ian Williams
Ian Williams

Manager of the Business Intelligence and Analytics Unit

Ian Williams is the Manager of the Business Intelligence and Analytics Unit within the Chief’s Office at the Toronto Police Service.  Ian provides leadership and management of information through governance, project management and data analytics initiatives throughout the organization.

Ian spent nearly 10 years with Statistics Canada prior to working with the Toronto Police Service where has been involved in Organized Crime, Terrorism, and Human Trafficking projects leading up to his current role.

Ian has Masters Degrees in Public Policy, Administration & Law, as well as in Spatial Analysis.  He also holds a BA in Geographic Analysis as well as a Graduate Diploma’s in Justice System Administration and International & Security Studies. 

Cal Zemelman
Cal Zemelman

Director

Cal Zemelman serves as a Director at CVP and is in charge of innovation and growth efforts across the firm through a variety of corporate and client engagements. He has designed and developed data science and advanced analytics capabilities in the Cloud for both government and commercial clients. Prior to CVP, he worked with the US Marine Corps leading enterprise business intelligence and analytics teams.Cal holds an MS in Management of Information Technology from the University of Virginia, along with a BS in Information Systems and Policy & Management with a Minor in English from Carnegie Mellon University.

Cal Zemelman is speaker of the following session:

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