Bigger wins!

Strengthen the business impact

delivered by predictive analytics


Speakers


Dr. Shantanu Agrawal

Dr. Shantanu Agrawal

Deputy Administrator for Program Integrity Director

Center for Program Integrity, Centers for Medicare & Medicaid Services (CMS)

Shantanu Agrawal is a Board-certified Emergency Medicine physician and Fellow of the American Academy of Emergency Medicine. He is currently serving as an appointee for the Obama Administration as Deputy Administrator for Program Integrity and Director of the Center for Program Integrity at the Centers for Medicare & Medicaid Services (CMS). His focus is to improve healthcare affordability and value in Medicare, Medicaid, and ACA Marketplace. Prior to this role, Dr. Agrawal served as Chief Medical Officer of the Center for Program Integrity, where he helped to launch new initiatives in data transparency and analytics, utilization management, assessment of novel payment models, and a major public-private partnership between CMS and private payers.

Prior to joining CMS, Dr. Agrawal was a management consultant at McKinsey & Company, serving senior management of hospitals, health systems, and biotech and pharmaceutical companies on projects to improve the quality and efficiency of healthcare delivery. Dr. Agrawal has also worked for a full-risk, capitated delivery system as the head of clinical innovation and efficiency. He has published articles in JAMA, New England Journal of MedicineAnnals of Emergency Medicine, Politics & Policy, among others, and has given national presentations on health care policy and the cost of care.

Dr. Agrawal completed his undergraduate education at Brown University, medical education at Cornell University Medical College, and clinical training at the Hospital of the University of Pennsylvania. He also has a Masters degree in Social and Political Sciences from Cambridge University. Dr. Agrawal has continued to work clinically both in academic and community settings and holds an academic position in Washington DC.

KEYNOTE: Implementing Predictive Analytics at CMS: Lessons Learned and Future Directions

 Antuane Allen

Antuane Allen

Specialist

Sanametrix

Antuane Allen is an early career statistician. He is a problem solver equipped with a diverse range of analytic skill sets. His area of expertise encompasses a blend of data analytics, information technology, statistical analysis, and project management disciplines. He possesses five years of professional statistical programming experience on projects for private organizations and federal statistical agencies. Currently, Antuane is a Statistician at Sanametrix, where he provides research consulting solutions to various federal government agencies such as the National Center for Education Statistics (NCES) and the Commodities Futures and Trading Commission (CFTC). His responsibilities include creation, testing and validation of the business rules for data collection systems, operationalizing key statistics to drive decision making, developing statistical programs for ensuring data quality and disclosure limitations, and providing analytical and research support for client deliverables. Antuane has practical experience applying various data mining techniques such as association rules, segmentation, clustering, text mining, sentiment analysis and neural networks to extract meaningful information. He is an expert with data visualization tools and dashboard creation. He has performed analyses on a variety of public and restricted use datasets to include the Civil Rights Data Collection (CRDC), Youth Risk Behavioral Surveillance Survey (YRBSS), American Communities Survey (ACS), National Health Interview Survey 2011 (NHIS 2011), and High School Longitudinal Survey of 2009 (HSLS 2009), and the National Survey for Family Growth (NSFG).

Session: Words that Matter: Application of Text Analytics at the U.S. Commodity Futures Trading Commission

 Dann Barnes

Dann Barnes

SMTS

Sandia National Laboratories

Dann Barnes has worked on expertise identification, process automation, and decision support at Sandia National Laboratories and the Idaho National Laboratory. He has a Master's degree in computer science with a focus in pattern recognition.

Session: Expertise Identification with Data Analytics

 Lewis Broome

Lewis Broome

Principal Consultant, Data Services Practice Lead

!mpact Makers

An innovative and practiced thought-leader in data management, Lewis Broome has more than 20 years of experience successfully leading the design and implementation of data management and information technology solutions. Lewis has hands-on experience as a developer, a business analyst, an architect and IT portfolio manager. As an executive in the global financial industry, Lewis led development teams in building globally integrated data solutions for Deutsche Bank and Morgan Stanley. In these roles, he has focused on data management as the foundational component to truly sustain analytical solutions. Until recently, Lewis was the CEO for a small but nationally recognized boutique data management consulting firm. In this role, Lewis delivered for clients a comprehensive approach for developing the foundational data management practices needed to enable a truly valuable and effective analytics capability. This approach is centered on clearly understanding and articulating the business needs. Currently, Lewis is a principal consultant and the Data Services practice lead at Impact Makers, a consulting firm based in Richmond Virginia.

Session: Building a Durable Data Foundation for an Analytical Environment

 Miguel Castillo

Miguel Castillo

Assistant Inspector General for Audit

U.S. Commodity Futures Trading Commission

Miguel Angel Castillo has many years of diverse U.S. federal audit experience and the ability to independently lead and manage organizational resources to produce quality work and substantive results. He has led, conducted, and reported on all aspects of financial and performance auditing and assurance services, inspections and evaluations, complaint reviews, investigations, management consulting activities, special projects, internal control reviews. As a life-long career auditor, he has have been passionate about serving the people of the United States of America. His specialties include advanced analytics design, data and text mining, geospatial visualizations, project management, database analytics and of course auditing!

Session: Words that Matter: Application of Text Analytics at the U.S. Commodity Futures Trading Commission

 Vijay D'Souza

Vijay D'Souza

Director

Government Accountability Office (GAO)

Vijay D'Souza is director of the newly established Center for Enhanced Analytics at the US Government Accountability Office (GAO). Vijay previously led audits of health care and information technology issues at GAO including areas such as improper payments, cyber security, and IT program management. Vijay has been at GAO since 2001. Prior to GAO, he worked on a fellowship for the U.S. Agency for International Development as an advisor to a business consultancy in Amman, Jordan; and before that as a developer of technology training. Mr. D'Souza has an M.B.A from the University of California Berkeley and a B.S. in Engineering from the University of Maryland, College Park.

Session: Characteristics for Those Who Claiming Social Security Benefits Early

 Kenny Darrell

Kenny Darrell

Lead Data Scientist

Elder Research, Inc.

Lead Data Scientist Kenny Darrell works on fraud detection, geospatial-temporal sentiment analysis and rare event and anomaly detection. He enjoys interacting with and advising clients and seeing the problem through their eyes. Kenny works primarily within ERI's federal government space on data mining projects, as a client advisor and oversees operationalizing data mining solutions to help clients get the most out of technical solutions. He tries to keep an even balance between hacking code and power points. He enjoys learning new things and trying to do old things in different ways.

Prior to joining Elder Kenny has been a Control Systems Engineer for the Air Force Research Laboratory and CDI Corp with a primary focus on aviation. Through working on projects related to image recognition, tracking systems, rare event detection and sensor data fusion he realized he could have more fun applying these techniques to more than just aviation issues. Mr. Darrell earned a BS in Aerospace Engineering and a MS in Quantitative Analysis from the University of Cincinnati, where his research focused on combining data mining algorithms to increase performance.

Outside of work he enjoys cooking, weight lifting and adding new items to his ever growing list of things he gets very excited about for a few weeks and then loses interest in (flying, skydiving, boating, mountain biking, the list goes on). He also enjoys balancing his wife, an artist, out with his more technical logical approach to life although others seem to say the situation is reversed.

Session: Data Munging/Wrangling with R

 Tom Donnelly

Tom Donnelly

Systems Engineer

SAS JMP

Tom Donnelly works as a Systems Engineer in the JMP division of SAS. A physicist by training, he has been actively using and teaching Design of Experiments (DOE) methods for the past 25 years to develop and optimize products, processes and technologies.

Donnelly joined JMP after working as an analyst for the Modeling, Simulation & Analysis Branch of the US Army's Edgewood Chemical Biological Center at Aberdeen Proving Ground, MD. There, he used DOE to develop, test, and evaluate technologies for detection, protection and decontamination of chemical and biological agents.

Session: Building Better Models Using Robust Data Mining Methods

 Jennifer Dubois

Jennifer Dubois

Director, Operations & Technology Risk Analytics

Fannie Mae

Jennifer Dubois is the Director of Operations & Technology Risk Analytics at Fannie Mae, where she leads the team in developing analytics solutions that enable proactive risk management and risk-based decision-making within the Operations & Technology organization. Prior to joining Fannie Mae, Jennifer worked in Regulatory Risk Management at UBS and Credit Risk Technology at Goldman Sachs. Jennifer holds a Master of Science degree in Financial Mathematics from The University of Chicago and a Bachelor of Science degree in Computer Science from Carnegie Mellon University.

Session: Harnessing the Power of Predictive Analytics for Technology Risk Management

Dr. John Elder

Dr. John Elder

Founder & Chair

Elder Research

@johnelder4

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.

PLENARY SESSION: Doing Space-Age Analytics with Our Hunter-Gatherer Brains

 Wayne Folta

Wayne Folta

Data Scientist

Elder Research, Inc.

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.

Session: How Do You Know When Your Model Is Good?

 Ravi Goyal

Ravi Goyal

Statistician

Mathematica Policy Research

Ravi Goyal is a statistician at Mathematica Policy Research focusing on the development of social network analysis and machine learning algorithms for public policy. His Ph.D. dissertation research and position as a research associate at Harvard University focused on methods for HIV prevention including for the Botswana Combination Prevention Program study to evaluate whether coordinated and strengthened HIV biomedical interventions will significantly reduce new HIV infections at the community level. During his employment as an applied mathematician at National Security Agency, he gained field experience via a deployment to Iraq and experience with real world complex datasets that included geospatial, longitudinal, and social network data.

Session: Predicting HIV Transmission Networks

 John Herzer

John Herzer

Enterprise Search Project Lead

Sandia National Laboratories

John Herzer leads the enterprise search and analytics effort at Sandia National Laboratories. He was instrumental in achieving the migration to open source search technology at Sandia and is guiding the effort to incorporate machine learning techniques to improve search results. Before his involvement with search, John provided technical leadership for the migration of over a million documents to the FileNet platform. He has spoken at IBM Information On Demand and NLIT conferences as well as at the Enterprise Search Summit.

Session: Enhancing Search Results Relevance Using Word2Vec Language Models

 Gary Huang

Gary Huang

Sandia National Laboratories

Gary Huang spent the majority of his professional career developing software for satellite data processing and analysis for national security missions. He has a Master's degree in computer science with a focus on machine learning.

Session: Expertise Identification with Data Analytics

 Vishal Kapur

Vishal Kapur

Principal

Deloitte Consulting, LLC

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.

Session: Consumer Financial Protection Bureau: Understanding Consumer Experience in the Financial Products and Services Marketplace through Complaint Analytics

 Matthew Keir

Matthew Keir

Senior Analyst, Market Analytics

New Zealand Electricity Authority

Dr. Matthew Keir is a senior analyst at a regulatory agency charged with setting rules that promote and provide a competitive, reliable, and efficient electricity market in New Zealand. Over the past 6 years he has established powerful analytical capability within the Electricity Authority. He has a keen interest in data visualisation, is a champion of open data and evidence-based policy, and continually drives to enhance organisational and government efficiency through the use of analytics and insights.

Prior to joining the Electricity Authority, Matthew worked for a large state-owned generator using analytics to inform engineering upgrade decisions that optimized performance of a tightly coupled low-head cascade hydro system.

Matthew has a Mechanical Engineering bachelor's degree and PhD from the University of Canterbury, New Zealand.

Session: Towards Analytics Maturity in a Regulatory Agency

 Floris Korteweg

Floris Korteweg

Analysis Specialist

The National Police of the Netherlands

Floris Korteweg has been working for the National Police of the Netherlands for the last 8 years. During the last 3 years he has been involved with a predictive policing project which is a collaboration between the Dutch Police Air Support Unit, The Central Intelligence Division and the University of Twente.

Floris holds a Bachelor and Master of Science degree in Criminology from the VU University of Amsterdam.

Session: The Application of Predictive Policing with Police Helicopters

 Michael Li

Michael Li

CEO

The Data Incubator

@thedatainc

Michael Li founded The Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to Fellows, and routinely accepts just 1% of applicants. Employers engage with the Incubator as hiring partners.

Previously, Michael worked as a data scientist (Foursquare), Wall Street quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup to focus on what he really loves.

Michael lives in New York, where he enjoys the Opera, rock climbing, and attending geeky data science events. You can find out more at www.thedataincubator.com.

Session: Having a Data Science Mindset

 Paola Libraro

Paola Libraro

Data Scientist

Booz Allen Hamilton

Dr. Libraro is a Sr. Consultant in the Booz Allen Hamilton's Strategic Innovation Group (SIG) NextGen Analytics practice where she is currently working on Statistical Modeling of Departure Prediction for the FAA. Using Bayesian Belief Networks and machine learning techniques the model developed for the FAA is able to predict departure delays over the NAS in a more accurate way than the existing models. Before joining Booz Allen Hamilton, Dr. Libraro received a Ph.D. in Mechanical and Aerospace Engineering from Princeton University where she focused on trajectory optimization of low-thrust transfers of GEO satellites and developed a new globally nonsingular formulation of the spacecraft dynamics. Dr. Libraro also holds a M.S. and B.S. in Astrophysics she received from the University of Bologna in Italy where she studied and researched galactic dynamics.

Session: Reducing Flight Delays Through Predictive Analytics

 Brien Lorenze

Brien Lorenze

Principal

Deloitte Advisory

Brien Lorenze is an entrepreneurial and innovative leader with global experience managing service offering and project delivery teams in the creation, planning, design, and execution of strategic programs. Brien is recognized for his knowledge of the government and financial service industries, the application of information technology to complex challenges, and as a pace-setter in applying analytics to detect illicit finance.

Brien has held a number of leadership positions serving Deloitte's national security and civilian clients and is responsible for business growth, delivery and talent development. He has led by fostering an environment of collaboration and blending capabilities in data science, forensic accounting, counter-threat finance, anti-money laundering, corporate investigations, systems integration, supply chain and advanced analytics.

Prior to Deloitte, Brien was a Managing Director at BearingPoint and a Principal in IBM Global Services where he held a number of leadership roles, including founding IBM's Public Sector Business Innovation Solution group in Europe, Middle East, and Africa.

Session: Advanced Analytics to Catch Sophisticated Fraudsters

 Andrew Lutes

Andrew Lutes

Data Scientist

Elder Research, Inc.

Data Scientist Andrew Lutes enjoys using analytic techniques to find order and meaning within noisy and complex systems. Andrew's technical focuses include causal analysis, experimental design, and predictive analytics. Previously, Andrew applied analytics to support the Department of Homeland Security, aid corporate investigations, inform strategic decision making for growing start-ups, and (in his spare time) assess decision making in sports. Andrew earned a B.S. in Systems Engineering and a B.A. in Economics from the University of Virginia. Currently, he is pursuing an M.S. in Mathematics and Statistics from Georgetown University.

In his spare time, Andrew enjoys water skiing, lacrosse, logic puzzles, and philosophy conversations.

Session: Data Visualization Even Your Boss Can Understand

 David Marx

David Marx

Data Scientist

Elder Research, Inc.

Data Scientist David Marx enjoys drawing actionable insights from large data sets, focusing on predictive analytics, text mining, and data visualization. Previously, David worked as a Senior Data Analyst at a music industry performance rights organization where he helped establish a data-driven department that worked with high profile clients, using database-side data alignment and ranked retrieval tools that he built or maintained.

David earned his Bachelor of Arts in Philosophy from Pitzer College and is completing a Master of Science in Mathematics & Statistics at Georgetown University. For nearly a decade David served as an EMT/Firefighter with the Wheaton Volunteer Rescue Squad in Montgomery County, where he absorbed lessons in leadership, planning, management and decision making.

In his spare time, David enjoys attending live music, playing soccer, snowboarding, camping, and tinkering with various analytics and programming hobby projects.

Session: Data Visualization Even Your Boss Can Understand

Dr. Jason Matheny

Dr. Jason Matheny

Director, IARPA

Intelligence Advanced Research Projects Activity

Dr. Jason Matheny became IARPA's director in 2015, after serving as a program manager, associate office director, and office director. Before IARPA, he worked at Oxford University, the World Bank, the Applied Physics Laboratory, the Center for Biosecurity and Princeton University, and is the co-founder of two biotechnology companies. His research has been published in Nature, Nature Biotechnology, Biosecurity and Bioterrorism, Clinical Pharmacology and Therapeutics, Risk Analysis, Tissue Engineering and the World Health Organization's Disease Control Priorities, among others. His research has been profiled in the New York Times' annual "Ideas of the Year," Discover Magazine's "Top Science Stories of the Year," as well as NOVA, Scientific American and the Economist. Dr. Matheny holds a doctorate in applied economics from Johns Hopkins, a master's in public health from Johns Hopkins, a master's in business administration from Duke and a bachelor's from the University of Chicago. He received the Intelligence Community's Award for Individual Achievement in Science and Technology.

KEYNOTE: IARPA's Forecasting Tournaments

 Ryan McGibony

Ryan McGibony

Data Scientist

Elder Research, Inc.

Data Scientist Ryan McGibony came to ERI after earning a Master of Science in Analytics from North Carolina State University. In his previous work, he conducted and analyzed custom marketing research for corporate and non-profit clients at a full-service research firm. While there, he gained experience in customer segmentation and predictive modeling techniques. Ryan also spent two years in Mongolia as a Peace Corps volunteer, supporting the staff of a local chamber of commerce in improving their service delivery to member businesses. Throughout his career, Ryan has enjoyed working with a wide variety of clients, taking care to understand their needs, and finding solutions to their problems.

Outside of work, Ryan's interests include watching baseball, playing ultimate frisbee, volunteering in his community, and traveling to new places.

Session: Network Analysis for Fraud Detection with Open-Source Tools

 Dan Olson

Dan Olson

Senior Manager

Deloitte Advisory

Dan Olson, CFE, has worked for 20+ years in healthcare fraud examination following five years in auditing and compliance. Dan has applied his background to provide leading practices and implement analytics in state Medicaid agencies, Medicare and commercial payer plans.

Dan worked for 12 years in the Office of Inspector General for a large state Medicaid agency developing multiple pharmaceutical pre-payment analytics that resulted in multi-million dollar annual cost savings. Dan spent the past nine years as the healthcare fraud, waste, and abuse subject matter specialist in the design of predictive analytics and a fully integrated case management system. Dan has authored five healthcare white papers and testified before Congress regarding recommendations to identify healthcare fraud, waste, and abuse while serving as a healthcare fraud resource to Congressional leaders.

Dan is a charter member of the Advisory Council for and certified by the Association of Certified Fraud Examiners plus a member of the Data Science Association.

Session: Advanced Analytics to Catch Sophisticated Fraudsters

 Dae Park

Dae Park

Assistant Director

Government Accountability Office (GAO)

Dae Park is Assistant Director of U.S. Government Accountability Office in Washington DC, has over 25 years of experience in advanced data analytics including decision supporting, assessing legislative impact, complex survey design and estimation, and applying various statistical methods. Before joining GAO in 1999, Mr. Park was a senior statistician at Science Application International Corporation, worked on regulatory impact for EPA contracts and Medicare payment error rate for CMS contract. Mr. Park holds a Bachelor of Science in Industrial Engineering from Korea University at Seoul, Korea and a Master of Science in Mathematical Statistics from University of Maryland at College Park. Mr. Park is an adjunct faculty at GAO teaching statistical courses including Probability Sampling and Statistical Modeling.

Session: Characteristics for Those Who Claiming Social Security Benefits Early

 Brittany Pugh

Brittany Pugh

Data Scientist

Elder Research, Inc.

Data Scientist Brittany Pugh is honored to contribute to challenging solutions in the defense and Federal community using mathematical and statistical algorithms, text mining, and advanced predictive analytics. Previously, Mrs. Pugh worked in Counterintelligence where she focused on threat deterrence, anomaly detection, cluster analysis, forecasting, and investigative lead generation. Brittany graduated from George Washington University with a MS in Systems Engineering, and from the University of Virginia with a BA in Mathematics.

Session: Data Visualizations with R and Shiny

 Brock Ramos

Brock Ramos

Office of Program Evaluation and Risk Analysis

IRS

Brock Ramos is a Senior Program and Risk Analyst with the office of Research, Applied Analytics and Statistics within the Internal Revenue Service. Brock has been with the IRS for 9 years. As a senior analyst, Brock has worked with clients across the IRS utilizing a variety of skill sets from Survey and Focus Group design to statistical analysis. He has been a part of initiatives ranging from enhancing employee engagement, to forecasting the impacts of the Affordable Care Act on taxpayers and the IRS, to using link analysis to create new and innovative ways of thinking about taxpayers. He is a graduate of Texas A&M University and currently resides in Austin, TX.

Session: Link Analysis: A New Perspective for the IRS

 Rick Reames, III

Rick Reames, III

Director

South Carolina Department of Revenue

Rick Reames III was appointed Director of the South Carolina Department of Revenue by Governor Nikki Haley on July 18, 2014 and unanimously confirmed by the South Carolina Senate on March 5, 2015. Reames has worked to reduce bureaucracy, streamline operations, and ensure fiscal responsibility and accountability of the state's tax dollars. He is committed to fair and consistent administration of the law to reduce the overall tax burden for the citizens of South Carolina.

A private-sector attorney for 15 years, Reames brings expertise in all matters of state and local taxes and strong business acumen to his position as the state's chief revenue officer. Reames has instituted strategic hiring practices to fill critical needs while simultaneously reducing duplicative and unnecessary positions. He has rebuilt a depleted legal team and significantly increased taxpayer education and public awareness, directing a nearly 300% increase from the previous year in the Department's issuance of public policy guidance. This action reduces confusion over complicated government requirements, resolves legal ambiguities and makes it easier for taxpayers to comply with the law.

For the first time in agency history, Reames instituted a comprehensive measurement program to track key functions, evaluate performance, cut waste and achieve improvement. He has revamped the Department's organizational structure to maximize efficiency and productivity and slashed the turnaround time of several key agency functions from averages of three to five weeks to just three to five days. In addition, Reames has implemented a number of cost-saving strategies such as privatizing the processing of paper tax returns for an estimated savings of $2 million over the next 10 years.

Reames received a Bachelor of Arts degree in economics from Wofford College, a Juris Doctor from the University of South Carolina School of Law, and a Master of Laws in taxation from New York University School of Law. Reames is originally from Florence, SC, and currently resides in Columbia with his wife, Elizabeth, and their three children.

KEYNOTE: Reinventing Refund Rhetoric: Using Predictive Analytics to Fight Fraud

 Dave Saranchak

Dave Saranchak

Data Scientist

Elder Research, Inc.

Data Scientist Dave Saranchak researches and applies statistical data modeling techniques to create advanced predictive analytics for national security clients. He has more than a decade of technical civil service experience as an Applied Mathematician and Software Engineer, including assignments to the UK and Canada and long-term deployments to Iraq and Afghanistan.

Dave's passion for World War II history steered him to enlist in the Marine Corps Reserve at the age of 17. While serving, he pursued his other passion of discovering and teaching mathematical connections to the universe at Villanova University, where he earned two B.S. degrees, one in mathematics and another in physics. He also holds two M.S. degrees, one in applied mathematics and another in telecommunications from the University of Maryland, College Park.

Dave enjoys reading, martial arts and all outdoor activities. He lives in Ellicott City, Maryland with his wife, Caitlyn, English Bull Terrier, Ferdinand, and an unknown number of horses (since his wife has yet to disclose the exact number).

Session: Analytics with Apache Spark

 Andy Schaufele

Andy Schaufele

Director, Bureau of Revenue Estimates

Maryland Comptroller of the Treasury

Mr. Schaufele is in his third year as Director of the Bureau of Revenue Estimates after serving for several years as the Assistant Director. Before joining the Comptroller's Office, Andy spent seven years in various private sector management positions, working in both consumer and commercial oriented product lines. Andy holds a bachelor's degree from Towson University, where he studied management and economics, and a Master of Business Administration from the joint University of Baltimore and Towson University program. Over the last six years Andy has championed the tax agency's adaptation of analytics and data warehousing with a focus towards improving decision making criteria and fraud detection. He is a Baltimore native, and currently lives in Severna Park, Maryland with his wife, daughter, and son.

PLENARY SESSION: Tax Fraud Analytics in Maryland -- The Evolution, Challenges, and Rewards

 Rachel Sullivan

Rachel Sullivan

Program Analyst

Human Capital Analytics Division, Office of Human Resources Management

Rachel Sullivan is a Program Analyst in the Human Capital Analytics Division within the Office of Human Resources Management at the General Services Administration (GSA). The Human Capital Analytics Division takes a data-driven approach to optimize how GSA manages and deploys human capital to execute business strategy. Rachel works with employee data to identify trends and patterns, evaluates survey results, and develops data visualizations to help others better understand GSA's workforce. She has been a key contributor in the development and launch of GSA's HR Business Partner Report, a customizable dashboard that visualizes GSA's onboard workforce, and provides summary charts and graphs of the talent pipeline, attrition, diversity, and multi-year trends. Rachel is interested in finding new ways to use data to drive decision-making in support of the agency's mission. Prior to joining GSA in 2009, Rachel worked in market research at Harris Interactive in Rochester, NY. Rachel holds an MBA from the University of Rochester, and a BA in English from the University of Chicago.

Session: Building a Highly Functioning Analytics Team

 Robin Thottungal

Robin Thottungal

Chief Data Scientist/Director of Analytics

US Environmental Protection Agency

Robin Thottungal is the EPA's first chief data scientist focused on creating and implementing an agency-wide vision on analytics for effective decision making. Prior to joining the EPA, Robin was at Deloitte Consulting, where he focused on selling and delivering large-scale analytics projects for public-sector and commercial clients. He also led the global big data community of practice for Deloitte, developing analytical frameworks and go-to-market strategy for big data and analytics solutions.

Robin is the vice chair for the Institute of Electrical and Electronics Engineers (IEEE), Washington, DC, section as well as the chapter chair for the IEEE Computational & Intelligence society. He is also a selection panel member for the American Academy of Sciences Hellman Fellowship in Science and Technology Policy. Prior to joining Deloitte, Robin was at Johns Hopkins University, where he lead the development of a computational bioscience software product used for drug discovery by the pharmaceutical industry.

Robin holds a graduate degree in computational sciences from Johns Hopkins University and was the recipient of a National Institute of Health (NIH) predoctoral fellowship. He also received the prestigious NIH postbac research fellowship to do advanced computational medicine research after obtaining his undergraduate degree in computer engineering from the State University of New York. Robin has authored more than 5 scientific publications and presented at 20+ conferences on various aspects of data analytics.

KEYNOTE: 21st Century Data-Driven Environmental Protection

 Chad Tompkins

Chad Tompkins

Data Section Chief

Consumer Financial Protection Bureau

Chad Tompkins leads the Data Section of the Office of Consumer Response at the Consumer Financial Protection Bureau. Each month, Consumer Response handles more than 20,000 complaints about the financial products and services marketplace. Chad helps the Bureau and the public better understand the consumer experience through analytics and data sharing. Previously, Chad led the Consumer Product Safety Commission program to develop and launch SaferProducts.gov. The public database allows consumers to report unsafe products, businesses to comment, and the Commission and public to use that data. In Chad's first federal role, he established the Pension Benefit Guaranty Corporation's testing program, Capital Planning and Investment Control program, and chaired its Investment Review Board. There he detailed to the Office of Management and Budget to train and assist OMB staff in IT portfolio evaluation. Chad has held roles in the private sector ranging from international telecommunications to pharmaceutical research.

Session: Consumer Financial Protection Bureau: Understanding Consumer Experience in the Financial Products and Services Marketplace through Complaint Analytics

 Jaya Tripathi

Jaya Tripathi

Lead Scientist for Data Analytics

MITRE

Jaya Tripathi is the Principal Investigator on the MITRE research initiative on Prescription Drug Misuse, applying health IT expertise and advanced analytics techniques on longitudinal prescription data. She received her MS in Physics and a second MS in Computer Science from the University of Texas. Prior to joining MITRE, she worked at several multinational corporations, applying big data analytics on projects such as a customer retention forecasting pilot and a perishable asset optimization problem. Since joining MITRE, she has done research in physician credentialing, patient consents in EHR, surveillance of anti-viral drugs, telemedicine, and identifying prescription drug abuse.

Session: Identifying Prescription Drug Fraud and Abuse

 Patrick van Vliet

Patrick van Vliet

Captain, Business Intelligence Center

The National Police of the Netherlands

Patrick van Vliet, Captain, Business Intelligence Center, The National Police of The Netherlands

Patrick van Vliet works for the National Police of the Netherlands. Mr. Van Vliet has over 10 years of experience within Intelligence Led Policing and Predictive policing. He serves as a police-captain within the Business Intelligence Competence Center of the Central Intelligence Division.

Mr. Van Vliet has worked on a number of business intelligence applications focused on dealing with cyber crime, violent crime and terrorism. He focuses on applying predictive policing to national issues.

Session: The Application of Predictive Policing with Police Helicopters

 Weishin Wang

Weishin Wang

Bureau Chief of the Bureau of Fraud Science and Technology

Illinois Department of Healthcare and Family services, Office of Inspector General

Weishin Wang is currently the Bureau Chief of the Bureau of Fraud Science and Technology under the Illinois Department of Healthcare and Family services, Office of Inspector General.

Mr. Wang has served as the Project Manager and the Acting Project Director for a 4.8 million CMS Medicaid Transformation Grant. During the project years from 2007 to 2011, Mr. Wang has successfully led the team to establish a comprehensive Dynamic Network Analysis (DNA) data analytic online management information system to perform aggressive prediction, outlying selection, profiling inquires and linking analysis on potential fraud or waste abuse Medicaid providers and recipients.

The ROI and cost of avoidance of the aforementioned Medicaid Transformation Grant is very prominent: The OIG has identified $23million dollars of fraudulent transportation services and a corresponding policy change has rendered a significant 70% reduction of Group Psychotherapy Services from 2009 to 2011 with an estimated saving of $35 million.

Mr. Wang has been working in the health department of Illinois for last twenty three years. Prior to his current OIG position, he served as a Project Director and had developed a statewide Mental Health fee-for-service initiative on Medicaid and Grant-in-Aid provider online tracking system, which is now a benchmark for the similar systems.

He has received a Master Degree in Mathematics concentrating in Computer Science and a bachelor degree in Computer Science from the University of Illinois.

Session: Advanced Analytics to Catch Sophisticated Fraudsters

 Ryan Weil, Ph.D

Ryan Weil, Ph.D

Principal Scientist

Lockheed Martin IS&GS

M. Ryan Weil, Ph.D. will discuss the details of the analytic platform used to support the outbreak investigation.

M. Ryan Weil, Ph.D. is a Principal Scientist in the Health and Life Sciences group of Lockheed Martin IS&GS. Ryan has nearly 20 years of experience in genomics and bioinformatics, and previously he served as the Program Manager in support of the CDC's Office of Infectious Disease Bioinformatics and Data Analytics effort. Ryan received a BS in Microbiology from Texas A&M College Station and a Ph.D. in Molecular Biophysics from UT Southwestern Medical Center in Dallas.

Session: Infer and Characterize the Transmission Network in An Opioid-driven HIV-1 Outbreak

 Jane Wiseman

Jane Wiseman

Senior Fellow, Ash Institute for Democratic Governance and Innovation

Harvard University

Jane Wiseman is a Senior Fellow at the Ash Institute for Democratic Governance and Innovation at Harvard University. She leads the Institute for Excellence in Government, a non-profit consulting firm dedicated to improving government performance. She is leading an effort to create a national network of urban Chief Data Officers to accelerate the use of analytics in local government. Her prior consulting work includes organizational strategy, performance management and eGovernment work at Accenture and Price Waterhouse.
Ms. Wiseman served as Assistant Secretary, Massachusetts Executive Office of Public Safety and as Assistant to the Director for Strategic Planning, National Institute of Justice, United States Department of Justice. Ms. Wiseman represented the Justice Department as Staff Assistant for the US House of Representatives Appropriations Committee. Ms. Wiseman holds a Bachelor of Arts in Government from Smith College and a Master of Public Policy from the Harvard Kennedy School.

Session: Roadmap to Analytics Excellence in Government

 Pengchu Zhang

Pengchu Zhang

Computer Scientist

Sandia National Laboratories

Pengchu Zhang is a computer researcher at Sandia National Laboratories. He has conducted research in computer modeling/simulation, data analytics and NLP for more than ten years. His recent interests including unstructured data analysis and deep learning.

Session: Enhancing Search Results Relevance Using Word2Vec Language Models

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