Our Team

Sam Ballerini

Data Scientist

Sam Ballerini fuses experience across a variety of technical disciplines to solve complex data problems at Elder Research. Sam earned an MS in Analytics from the Institute for Advanced Analytics at NC State University, where he built content recommendation systems for mobile applications.

Prior to graduate school, he studied Computer Science at Tufts University and worked as a software engineer for a portfolio management firm. Sam's technical interests lie in deep learning and natural language processing, and he enjoys staying up to date on the latest in machine learning research.

Outside of the office, Sam loves building computers, working out, and cooking.

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Brigham Bangerter

Software Engineer

Brigham Bangerter works in the software engineering team to create powerful tools for clients. Previously, he helped build an efficient commercial test automation system, as well as establish an online registration system for UVA's annual high school programming competition.

He has experience writing in Java ,C++, and Python.  Brigham received a BS in Computer Science from the University of Virginia, after earlier study at the University of Utah.

In his spare time, he enjoys tennis, app development, and creating and playing video games.

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Jordan Barr, Ph.D.

Senior Data Scientist

Dr. Jordan G. Barr was excited to recently return to Elder Research after seven years as a Physical Scientist and Hydrologist with Everglades National Park in Homestead, Florida. During 2005 to 2008, Dr. Barr served as a Research Scientist at Elder Research contributing to or leading several successful commercial and government projects. The tools and strategies learned at Elder Research proved invaluable in writing some of the first journal articles elucidating real time functioning of mangrove forests and helped to establish their importance in regional and global carbon budgets. In turn, the Everglades experience taught him much about collaboration, cooperation, and dealing with unforeseen challenges. Jordan enjoys tennis and the outdoors and loves spending time with his wife and four children.

Journal Article: Understanding Coastal Carbon Cycling

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Geoffrey Becker

Software Engineer

Geoffrey Becker enjoys building software designed to enhance a client’s experience through its intuitive simplicity. Previously, he worked several years in government contracting as a software developer implementing web applications built to address challenges that clients face when filtering through large geo-spatial data sets. Geoff graduated from the University of Virginia in 2009 with a BS in Systems Engineering and earned a Masters in Information Technology from Virginia Tech in 2014.

In his spare time, Geoff enjoys hiking, backpacking, fishing, and a really good scotch by the fire with friends.

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Carlos Blancarte

Data Scientist 

Carlos Blancarte is drawn to analytics for its power to capture complex relationships and influence decision making. Previously, Carlos was lead statistician for a marketing research firm where he engaged in every stage of the project lifecycle from collecting, cleaning and analyzing data, to building and deploying models. Carlos specialized in predictive modeling (with responsibility also for text mining, segmentation, and structural equation modeling) and enjoyed automating tasks to save clients' time.

Carlos earned a BA in Economics from the University of Arizona and an MS in Analytics from NC State University, and loves learning continually, from coding in new languages, to mastering the classical guitar.

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Trent Bradberry, Ph.D.

Data Scientist

Dr. Trent Bradberry has lived and worked in the DC area for over a decade. He enjoys the challenge of working with data across a variety of domains to solve problems and extract insights. He has applied predictive modeling in diverse areas involving biological signals, financial time series, images, and text. Trent earned a PhD in Bioengineering from the University of Maryland, an MS in Electrical and Computer Engineering from Georgia Tech, and a BS in Computer Engineering from Clemson University.

In his free time, Trent enjoys spending time with his wife and children, Kaggle competitions, genealogical research, and dancing.

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Daniel Brannock

Data Scientist 

Daniel Brannock brings a background in the natural sciences to his analysis work at Elder Research. He earned an MS in Analytics from NC State University, where he gained practical experience with mining electronic health record data. Previously, Daniel obtained a BS in Chemistry from the University of North Carolina and worked in the pharmaceutical industry for three years. His enjoyment analyzing laboratory data sparked a return to school to focus on analyzing data rather than generating it.

Daniel loves basketball (playing and watching), competing, reading, and especially learning what inspires and motivates others.

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Zachary Brown

Software Engineer

Zachary Brown creates robust and efficient software for clients and for Elder Research's data analytics team, magnifying their productivity. He is proficient in Java and Scala and interested in functional programming design and provably correct software systems. Zach earned a BA in Computer Science and in Mathematics at the University of Virginia.

In his free time he enjoys cooking, baking pies, board games, frisbee golf, and reading about cognitive science.

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Paul Corbitt, Ph.D.

Data Scientist

Paul Corbitt works on our team as a data scientist.  Prior to joining Elder Research, Paul was a postdoctoral fellow at the National Institute on Deafness and other Communication Disorders where he performed simulations of task based laminar fMRI. 

Paul earned his PhD and MS in physics from University of Maryland Baltimore County, a MS in applied and industrial mathematics from Towson University, and a BS in mathematics and physics from Washington College.  During graduate school Paul created mathematical models to interpret epidemiological data and developed a prototype criminal geographic profiling model. 

In his spare time Paul enjoys reading and cycling. 

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Keith Council

Software Engineer

Software Engineer Keith Council brings cloud technologies into practical use and implements data driven software solutions for clients. As an enterprise level service developer Keith has tackled solutions in java, javascript, and SQL as well as other languages and software frameworks.  Mr. Council is an alumnus of North Carolina State University, with a B.S in Computer Science and a minor in Business Administration.

Outside of work, Keith enjoys tabletop and board games, riding motorcycles, painting, and rock climbing.

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John Dimeo

Software Architect

John Dimeo has over a decade of experience at Elder Research designing and implementing software solutions for data science problems. He has deployed systems across multiple industries using many different technologies and has led the development of Elder Research’s software products. John specializes in usability, data transformation, databases, data visualization, and software best practices.

John received a BS in Computer Science from the University of Virginia and began his career as an intern at Elder Research in 2005. He is active in his church, enjoys spending time with his family, and plays drums and board games in his free time.

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Ken Duffau

Data Scientist

Ken Duffau develops solutions to help clients navigate and understand chaotic data environments, and ensures data quality control. Previously, Ken was an intelligence analyst in the U.S. Army, then an information technologist and GIS Engineer in the Republic of Korea, where he managed client and server GIS applications. He has worked with multiple national security offices to solve data quality and data standard issues and created a data management system that ensures that finished data is homogenous regardless of the original source or format.

Ken earned a BS in Information Systems Management from the University of Maryland University College, and a Masters in the Management of Information Technology at the University of Virginia. During his free time Ken enjoys hiking the Appalachian Mountains, spending time with his family, and reading anything that makes him think.

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Evan Elg

Data Scientist

Evan Elg supports Defense & Intelligence clients by creating analytics that leverage supervised and unsupervised machine learning techniques to help analysts triage large datasets and improve their work flow. Evan joined Elder Research after working as a civilian for the DoD where he worked on a mission cognizance team reporting to senior leadership on business metrics and predictive analytics.

Evan graduated from Brigham Young University with a B.S. in Statistics and is pursuing a Master’s degree in Data Analytics from the University of Maryland University College. He enjoys spending time with his wife and playing volleyball.

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Ozan Ersoy

Lead Data Scientist

Lead Data Scientist Ozan Ersoy is a highly analytical professional with over two decades of experience creating solutions for clients leveraging their data. Ozan started his career as an engineer after earning his first MS in Technology Management. He technically led cross-functional international teams on IT projects in global organizations and worked on major ERP and BI technologies for over a decade. After graduating from the Institute of Advance Analytics, NCSU, with his second MS degree in 2013, Ozan has focused on pure data science projects, helping clients more deeply understand their business and improve strategic and tactical decision-making.

At Elder Research, Ozan is developing mastery in Machine Learning (predictive analytics), Anomaly Detection (Risk and Fraud), Network Analysis (Graph mining), and Text Mining solutions (NLP) for client organizations. He researches new methods such as Deep Learning, cutting edge technologies (GPU analytics, Graph Databases, Spark), and evaluates and deploys new research and technology while creating vision for clients. Ozan has created custom coursework and taught advanced analytics training courses for highly technical data science teams. He delivers optimum solutions given constraints on time, resources, and data. His vast experience and understanding of the data science process have helped many clients navigate through the maze of analytics, aligning themselves with the technologies and processes for success.

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Cory Everington

Data Scientist 

Cory Everington has extensive experience analyzing healthcare, insurance, and biological data. After earning a BS and MS in Biology from UNC Wilmington, Cory worked five years as a research technician in a genomics sequencing facility, where she designed experiments and managed and generated large biological data sets. Her love of analytic challenges led her to then complete an MS in Analytics at NC State and join Elder Research.

Outside of work, Cory enjoys reading and spending time with her husband and their dog, Toby. She can often be found hiking or biking around Charlottesville, or trying out a new recipe for friends and family.

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Luke Farley

Data Analyst

Luke is passionate about solving complex problems and helping others. He recently graduated from Washington and Lee University, earning a B.S. in Mathematics while minoring in Computer Science and Music. While in school, he also played on the men’s golf team and led backpacking trips along the Appalachian Trail.

In his free time, he enjoys playing and watching sports, traveling and exploring the outdoors, and listening to and creating music.

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Wayne Folta

Senior 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.

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Todd Gerdy

Data Engineer

Todd Gerdy brings his 10 years of problem-solving skills from the Audio/Visual industry to Elder Research. He actively uses these skills to help both the Data Science and the Software Engineering teams in implementing efficient software solutions for clients. He has experience in Java, JavaScript, Python, and Ruby.

Todd likes to spend his free time with his family, gaming, and volunteering with Habitat for Humanity, Arc of the Piedmont, and beCamp.

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Anna Godwin

Data Scientist 

Anna Godwin enjoys working closely with customers to assess needs and deliver custom analytic results to generate business value. She values teaming and brainstorming with clients and colleagues. Prior to joining the Elder Research Commercial Data Science team, Anna worked as an engineer in medical device product development, analyzing controlled experiments on production processes to drive decisions in research, development, and manufacturing capacities.  A North Carolina native and Wolfpack fan, Anna holds three degrees from NC State: an MS in Analytics, BS in Biomedical Engineering and a BS in Textile Engineering.

In her free time, she enjoys the challenge of weightlifting, a good game of soccer, and board games with friends and family.

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Will Goodrum, Ph.D.

Data Scientist

Dr. Will Goodrum has a decade of experience applying numerical analysis and engineering to solve practical problems and generate value for customers. Previously, Dr. Goodrum worked in an engineering software firm, helping medium-to-large scale customers across industrial sectors develop superior products and reduce their time-to-market. As a graduate student, he applied statistical modeling and physics-based simulation to estimate the impact of policy decisions on lifetime maintenance costs for a regional transportation authority.

Will holds a B.S. in Mechanical Engineering from the University of Virginia, and a PhD in Engineering from Cambridge University. Outside work, Will enjoys the fantastic Charlottesville-area food scene with his wife and son, as well as cooking, (most) music, swimming, distance running, and travel.

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Matt Gordon

Data Scientist

Matt Gordon helps develop and test Turnstile, a streaming analytics and alerting engine. Mr. Gordon graduated from Calvin College with a B.A. in Economics with focus on Microeconomics including game theory, general equilibrium, and international trade. He has an M.S. in Data Analytics from the University of Maryland University College. Matt enjoys reading science fiction, watching football and baseball, playing games, and anything involving history.

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Todd Grabowsky

Project Manager & Data Scientist

Todd Grabowsky supports multiple projects in the DC area. His primary technical interests include data visualization and predictive analytics. He has provided systems engineering and integration support for research and development projects within the intelligence community, supporting acquisition activities, developing system architectures and concepts of operation, developing requirements, and performing project management. Todd also has experience as a management consultant, managing large-scale IT implementations for multiple federal government agencies. Todd graduated from the University of Virginia in 2007 with a B.S. in Systems Engineering. In his free time, he dabbles in web design/development, plays ultimate frisbee, juggles, and collects cheesy jokes.

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Sean Haler, Ph.D.

Lead Data Scientist

Dr. Sean Haler works on our Defense and Intelligence team where he looks to solve interesting and difficult problems from a wide variety of fields including language modeling, high performance computing, graph theory, and network analysis.  Before joining Elder Research, Dr. Haler spent 10 years as a DoD civilian working as an applied research mathematician, most recently serving as the Deputy Director of a Cryptanalysis Development Program.  Sean earned his doctorate degree in graph theory from the University of Idaho, where he also earned masters and bachelors degrees in math.

Sean volunteers his time teaching Mathematics and Computer Science at his daughter's school.  When he is not working or teaching, Sean is usually trying to solve a puzzle or spending time with his adorable family.

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Chris Hase

Data Scientist

Chris earned a BS in Psychology and Economics and a Certificate in Business at the University of Wisconsin-Madison where his interest in statistical analysis and modeling grew while working as a research assistant in the Intrinsic Motivation Research Lab. He interned at a market research firm where he applied statistical methods to survey data, and then completed an AM in Statistics at Harvard where he focused on projects employing machine learning. He particularly enjoys discovering which machine learning techniques best fit new real-world applications.

In his free time, Chris reads, plays several team sports, skis, weightlifts, and spends time with friends and family.

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Kimberly Keiter

Data Scientist

Kimberly Keiter graduated from UNC-Chapel Hill with a BS in Applied Mathematics and Chemistry.  While working at UNC as a research assistant in an organic chemistry lab, she realized she most enjoyed analyzing data to solve problems so, to advance those skills, she completed an MS in Analytics from NC State University.

In her spare time, Kimberly enjoys playing board games, running, reading, and spending time with friends and family.

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LeAnna Kent

Data Scientist

LeAnna Kent enjoys blending programming and mathematics to gain understanding from data and guide decision making. Ms. Kent has practical experience with trend detection, unstructured data, and policy analysis. LeAnna has a Master’s in Analytics from North Carolina State University, and a BS in Mathematics with a minor in Computer Science from Rhodes College. In her free time, she enjoys painting, baking, crime shows, and logic puzzles.

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Zach Lamberty

Data Scientist

Zach Lamberty is an enthusiastic strategist, problem solver, and communicator. He enjoys the boundary between the scientific and business communities where he can apply data science to solve real-world problems. He earned a BS in Physics and Mathematics from the University of Notre Dame, and an MS in Theoretical Physics from Cornell University, and has worked as a data-focused developer in the finance industry.

In his free time, Zach enjoys learning new things (especially about Python programming), exploring the world with his wife, watching college football (Go Irish!), solving logic and crossword puzzles, and engaging in civic hacking.

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Halee Mason

Data Scientist

Halee Mason brings three years of clinical laboratory data analysis experience to the team. Previously, at the UVA Medical Center, she enjoyed optimizing workflow and developing applications for improved clinical outcomes. Halee graduated with a BS in Medical Technology from the State University of New York at Fredonia and is pursuing an MS in Data Science from the University of Wisconsin Eau Claire. In her spare time she enjoys training and doing Agility with her Australian Shepherd, scuba diving, and hiking.

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Ryan McGibony

Senior Data Scientist

Ryan McGibony came to Elder Research 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.

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Joy McKinney

Project Manager and Data Scientist

Joy McKinney has a passion for data that began over twenty years ago. Joy earned a BS in Decision Information Sciences from the University of Florida, with a focus on Decision Support Systems.  Prior to joining Elder Research, Joy worked for a global technology firm as a business analytics consultant, technical architect, and project manager in multiple industries, including federal government, state and local government, higher education, healthcare, and financial services.  Most recently, Joy managed an enterprise business analytics environment for a large public sector client in the Washington DC area.

In her spare time, Joy enjoys outdoor adventures, traveling, and spending time with her family, which also includes two dogs, a bearded dragon, and a pet turtle that she has had for over three decades. 

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Ian Myjer

Data Engineer

Ian Myjer is a creative problem solver motivated by improving business processes and tackling clients’ challenges. Previously, Ian focused on using data to reduce energy consumption in commercial facilities and residences. He most enjoys creating interesting visualizations and extracting data from messy sources.

Ian graduated from Harvard University with a degree in Environmental Sciences and Engineering. Outside of work, he enjoys cycling, rock climbing, and basketball.

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Jovon Packard

Software Engineer

Jovon Packard enjoys technology at all levels including networks, servers, and smartphones.  He started coding and building computers as a teenager.  He also loves studying languages and history.  Prior to joining Elder Research Jovon worked as a system administrator, IT manager and was in the Army for 5 years as an Arabic Cryptologic Linguist.  He has experience programming with C#, Python, Ruby, Java, JavaScript, Go, Python and Scala.

Jovon received a BA in Management Information Systems from Cedarville University.  He likes exercising, gaming and miniature painting.

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Bryce Pilcher

Software Engineer

Bryce Pilcher brings a background in network simulation and software reliability to client tool design. Bryce has leveraged graphs and Java to provide a new interfaces for clients to look at and interact with their data.  His love of learning has led him to use Python for gathering useful information from the web and Scala to develop functional and reliable software solutions.  He is an alumnus of North Carolina State University, with B.S. and M.S. degrees in Computer Science.

In his spare time, Bryce enjoys brewing beer, rock climbing, and hanging out with his wife Marissa and Labrador Retriever, Mya.

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Robert Pitney

Analytics Engagement Manager

Robert Pitney enjoys listening to the needs of clients and finding ways that data can be used to solve problems, increase efficiency, or prevent fraud. Previously, Robert worked six years in the private sector as an IT Systems Integrator followed by eight years in the government sector as an Information Security Manager and an IT Auditor. In these roles, he learned the importance of analyzing data to ensure the continued security and integrity of key information technology systems, and became a Certified Information Systems Security Professional (CISSP) and Certified Information Systems Auditor (CISA).

Robert joined Elder Research after earning a Master’s of Science in Analytics from North Carolina State University, from which he also had earned undergraduate degrees in Economics and Computer Science. He actively seeks to cross-pollinate ideas from these fields to maximize positive impacts for clients.

In his spare time, Robert enjoys reading a good book, running, snow skiing, and cheering on his son at multiple sporting events. He has a passion for teaching and has served as an instructor for CISSP exam review courses.

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Stuart Price, Ph.D.

Data Scientist

Dr. Stuart Price has experience applying machine learning, optimization, and simulation to problems in healthcare. He enjoys working in new fields and learning from subject matter experts. His research interests include applying machine learning and optimization to create decision support tools to be used in healthcare and predictive confidence.

Stuart earned a BA in Physics and Mathematics from Hendrix College, and an MS in Applied Mathematics and a PhD in Operations Management from the University of Maryland, College Park. Outside of work he enjoys backpacking, cooking, and reading.

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William Proffitt

Software Engineer

William Proffitt applies his skills in design, software, writing, and collaboration to create revolutionary data visualizations our clients love using daily. His work has made a difference for investigators, auditors, engineers, telecommunications companies, investment clients, and think tanks. He graduated from the University of Virginia with a degree in Economics and Mathematics. When he isn’t working for Elder Research, William enjoys hiking, dancing, and creating art.

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Mike Reddington

Senior Data Scientist

Mike Reddington has been a partner of Elder Research for over two decades. Mike initially worked with Dr. John Elder on a very successful hedge fund in the 1990’s and 2000’s, and recently joined Elder Research to lend his extensive financial markets expertise to our financial consulting projects. Previously, Mr. Reddington co-founded Grove Hill Partners, LLC where he serves as CIO and Managing Partner responsible for the quantitative investment strategies. 

Mike was a Managing Director at SkyBridge Capital, LLC and co-founded RFI Investments, LLC, an affiliate of Rafferty Holdings.  He was President of MVP I, LLC and Managing Partner of Kerry Associates, LLC where he performed quantitative research and portfolio management.  Mike earned his Bachelor of Science degree in Finance from New York University and his MBA from Long Island University.

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Temple Riehl

Software Engineer

Temple Riehl designs and implements software applications to enhance data analysis for national security clients. Current work includes development of streaming cyber analytics and deployment of InterCEPT - Elder Research's complex event trigger processing software. He has years of experience in the design and development of signal collection, data forwarding, search, reporting and data archiving systems. He also has extensive experience in developing desktop and web-based user interfaces.

Mr. Riehl received a Bachelor Degree in Computer Science from the Pennsylvania State University. He enjoys reading and Civil War sightseeing. Temple and his wife, Dina, have a son and daughter who currently attend St. Mary's College of Maryland.

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Tom Shafer, Ph.D.

Senior Data Scientist

Dr. Tom Shafer joined Elder Research after completing a Ph.D. in Physics at the University of North Carolina. In his research, Dr. Shafer computed the decay properties of heavy atomic nuclei to study an astrophysical process that formed the heaviest elements. Those computations were made possible by collaboratively developing a new parallel computing algorithm to calculate nuclear properties. Tom also earned degrees in Physics and Mathematics from the University of North Carolina at Wilmington. He enjoys spending time with his wife and with friends, playing music, reading, programming, and watching football (soccer).

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Andrew Stewart

Data Scientist

Andrew Stewart is an inquisitive and tenacious problem-solver who enjoys diving into new methods and tools. After serving 8 years in the Marine Corps and completing multiple combat deployments in Iraq and Afghanistan, Sergeant Stewart became an Intelligence, Surveillance, and Reconnaissance (ISR) defense contractor for the Air Force. There, Andrew taught pilots and crew members how to use their ISR capabilities to monitor high-value individuals and support troops in combat.

Andrew holds a BA in Applied Mathematics and Statistics from California State University - Sacramento and a MS in Mathematics and Statistics at Georgetown University. 

Andrew fills his free time with hobby analytics projects, backpacking, travel, and playing rugby for the Georgetown Law School.

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Colin Thomas

Software Development Manager

Colin Thomas brings over 10 years of development, IT support, and unstructured data analysis experience. His primary focus is developing systems that extract and display meaningful information from large text-based data collections. Prior to joining Elder Research, Colin managed the IT/Developer group for an intangible asset risk management firm; he was responsible for designing, implementing and maintaining the company's web-based data analytics platforms. He earned both a BS (2003) and ME (2008) in Systems Engineering from the University of Virginia. In his spare time, Colin enjoys exploring various hobbies such as boardgames, photography, and miniature painting.

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Mike 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.

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Adam Trexler, Ph.D.

Data Scientist

Dr. Adam Trexler brings over a decade of experience, and enthusiasm for data-based problem solving, to Elder Research. His scientific training and postdoctoral work focused on the molecular features of human disease with an emphasis on efficient data processing, image reconstruction, and clustering methods. Recently, he applied machine learning and anomaly detection techniques to personnel security and insider threat applications for the US Army.

Adam earned a PhD in biophysics and biochemistry from Yale University after majoring in biology at McDaniel College. In his free time, Adam enjoys running, hiking, and cooking.

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Niral Upadhyaya

Senior Data Scientist

Niral Upadhyaya enjoys gaining valuable insights from available data and currently works on fraud detection and data visualization.  Prior to Elder Research, Niral worked for a global information technology consulting firm where she acquired experience in biometrics and problem solving across all phases of the software development life cycle.  Her interests in data mining were realized through evaluation of three biometric solutions, analysis of data integrity, and identification of monthly trends and cost performance.  Niral earned a B.S. in Systems Engineering from the University of Virginia and an M.S in Analytics from the Institute for Advanced Analytics at North Carolina State University.

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Kirsty Ward

Data Scientist

Kirsty’s background in scientific research sparked a passion for discovery and analysis. Previously, she worked in a quantitative genetics laboratory studying the genetic architecture of complex traits such as aggression and lifespan. Her love for learning led her to pursue a MS in Analytics from NC State University, where she dove into practical analytics problems through a customer segmentation project for a financial services company.

A proud Wolfpack alumna, Kirsty also holds a BS in Genetics from NC State University.

In her free time, she enjoys playing board games, practicing yoga, and volunteering as a Crisis Counselor.

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Jeffrey Whittemore

Senior Data Scientist

Data Scientist Jeffrey Whittemore has more than ten years of experience in analytics and predictive modeling, and has been working in the intelligence community since 2009.  He has both led and been a vital technical member of projects in a wide range of disciplines including insider threat, fraud detection, churn modeling, text mining, credit scoring, crime analysis, and risk prioritization.  Jeff is actively involved in business development and operations for the IC team.

Jeff received a BS in Biomedical Engineering from the University of Virginia, where he worked in the computational systems biology laboratory.  Outside of work, Jeff enjoys spending time with his wife and two sons, playing all sports, hiking, and all things related to Boston and UVA athletics.

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Michael Wingate

Analyst

Michael Wingate enjoys solving complex problems by breaking them down into their core elements. Mr. Wingate develops web-based software applications, including one that displays and analyzes national cancer research study data using the latest JavaScript tools. Michael graduated from Messiah College with a BA in Mathematics with Minors in Statistics and Computer Science. He and his wife, Amanda, enjoy volunteering for their home church. He loves to spend his spare time rock climbing, reading, building computers, and playing games.

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Christina Wong

Analytics Engagement Manager

Christina Wong is a skilled project manager with a decade of experience providing technical consulting and project management to multinational corporations and law firms in fraud investigations, e-Discovery and litigation management, and regulatory compliance issues across multiple industries. She works closely with clients to effectively leverage data analytics to transform large and complex datasets into intuitive and relevant business intelligence to make data-driven decisions.

Christina holds a B.A. in Foreign Affairs, East Asian Studies from the University of Virginia and is a Certified Fraud Examiner. In her spare time, she enjoys traveling, photography and spending time with family and friends.

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