Our Team

Bill Aldrich

Senior Software Engineer

Bill Aldrich has an extensive background in all phases of software life-cycle development for commercial products and systems. Prior to joining Elder Research, he worked on a diverse set of subject areas including video analytics, image processing / image understanding, and geospatial data analysis and visualization. He has often worked on substantial software refactoring efforts to improve performance and efficiency in order to meet system goals and requirements. Bill holds a MS in Computer Science from Virginia Tech, and a BS in Computer Science from the University of Maryland. Outside of the office, he enjoys running, golf, playing the piano, and contract bridge.

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David Ball

Project Manager

David Ball manages business operations in our Baltimore office where he oversees resource planning and contracting. David previously managed the end-to-end life cycle of a software application for a government client at a large consulting firm. He was also an investigator and then the DC-area operations manager for a security company. David earned his Bachelor of Arts degree in English from James Madison University, and is a grateful husband and proud father of three children.

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Jordan Barr, PhD

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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Parker Bleam

Data Analyst

Parker Bleam enjoys solving difficult problems and delivering results to clients using data science algorithms and techniques. At Elder Research he has gained experience in investment modeling, sports scheduling, customer churn prediction, and fraud detection. He is interested in simplifying complexity, and is a firm believer in using effective visualization to communicate abstract concepts. Parker earned a B.S. in Systems and Information Engineering from the University of Virginia.

In his free time, Parker enjoys reading, playing sports, programming, and applying his interest in analytics to the NFL and NBA.

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Danny Brady

Data Scientist

Danny Brady has years of experience as a software developer writing in .NET for a hedge fund. He has created tools from the very small, to company wide messaging and automation systems. Danny earned a BS in Computer Engineering from UVA, and more recently, his MS in Data Science also from UVA. He looks to take his experience in computer science, and combine that with his passion for prediction here at Elder Research.

Danny spends, probably too much, of his free time serving as a volunteer firefighter at Seminole Trail Volunteer Fire Dept. He continues to volunteer there every week, and has done so for the last 10 years, currently holding the rank of Captain.

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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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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

Data Scientist

Ozan Ersoy focuses on text mining, fraud detection and data management. Prior to Elder Research, he worked for 16 years as an IT business analyst in the manufacturing and service industries, particularly membership associations. Using his problem solving and business analysis skills, Ozan designed, developed and implemented several IT solutions from global ERP implementations to mobile apps that were strategically vital to the businesses. He has managed several globally-dispersed teams, contributing his vision, energy, and enthusiasm to many difficult projects. Ozan also developed and launched a database-driven storefront for selling exquisite oriental rugs in the early years of the e-commerce boom. Mr. Ersoy is a certified PMP and is experienced with all stages of the software development life cycle. He earned two Master’s degrees from North Carolina State University in Textile Technology Management, and in Advanced Analytics. In his free time, Ozan likes cooking and outdoor sports.

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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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Wayne Folta

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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Lanny Fox

Data Scientist

Lanny Fox enjoys working with all types of data to find insights and benefit clients. Lanny earned an MS in Mathematics and Statistics from Georgetown University after receiving a BA in Economics from Brown University. Prior to Elder Research, Mr. Fox worked at the US Census Bureau focusing on outlier detection for surveys, and predictive models to reduce the cost of the 2020 Census.

In his free time, Lanny enjoys playing sports, reading, jogging, and board games.

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Nathan French

Analyst

Nathan French uses his financial analysis experience on projects in the financial risk domain. Previously, he spent eleven years as a 401(k) consultant to approximately 50 small firms specializing in retirement plan design and financial reporting.

Nathan received his Bachelor of Science in Mathematics from Cal Poly, San Luis Obispo and a Masters of Science in Bioinformatics from the University of Maryland. His graduate work has included motif finding (a specialization of text mining), prediction via Hidden Markov Models and the measure of gene-gene versus gene-environment interactions to locate quantitative traits.

His work at Elder Research has focused on the improvement of statistical models, such as the management of selection bias on both the conceptual and implementation levels.

In his spare time, he enjoys jogging on the Baltimore-Annapolis trail, cheering for the San Diego Padres, and cooking unhealthy food.

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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, PhD

Data Scientist

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

Analyst

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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Benjamin Guseman

Senior Software Engineer

Ben Guseman is adept at helping clients understand and realize their vision for software tools, especially through requirements analysis, the design and implementation of graphical user interfaces, the creation of automated software deployment tools, and the use of continuous integration techniques with automated testing. Most often, Ben focuses on the development of an aircraft rotor modeling and risk assessment application used by aerospace engineers. Recent work includes visualization and manipulation of attribute data assigned to finite element models, modernization of legacy user interfaces and build systems, and the implementation of a flexible, schema-based data model API. Mr. Guseman joined the ERI team via the 2011 acquisition of Mustard Seed Software, LLC.

Ben earned a BS in Computer Science (2009) and a BA in English (2002), both from the University of Virginia.

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Sean Haler, PhD

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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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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Andrew Lutes

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.

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Jennifer Markee

Software Engineer

Jennifer Markee graduated Magna Cum Laude from The University of Pittsburgh with a dual degree in Mathematics and Computer Science. Her career includes more than a decade of experience with multiple object oriented, SQL, and XML technologies in network and environmental systems. Jennifer joined the Elder Research Charlottesville office in 2011 to work on fraud detection and data visualization applications.

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David Marx

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.

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Halee Mason

Data Analyst

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

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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Robert Pitney

Data Scientist

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, PhD

Data Scientist

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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Peter Rankel, Ph.D.

Data Scientist

Dr. Peter Rankel researches and applies statistical techniques to create advanced predictive analytics for national security clients. Peter has worked in the defense industry for over a decade as a Data Scientist and Software Engineer, and elsewhere as an independent statistical consultant. Pete has a Ph.D. in Statistics from the University of Maryland, focusing on applying statistical methods in Natural Language Processing.  He earned a B.A. in Math from Boston College and an M.A. in Math from University of Maryland.

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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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Jennifer Schaff, Ph.D.

Data Scientist 

Jennifer Schaff began her analytics journey exploring and generating large biological data sets while earning a PhD in Plant Pathology. Dr. Schaff continued to develop her data interest and skills analyzing sequencing data while building and leading NCSU’s genomics facility program. Love for analytics challenges led her to recently complete the Master’s program at NCSU’s Institute for Advanced Analytics.

True to her upbringing in the Pacific Northwest, you will find Jennifer in her free time in the great outdoors, where she enjoys running, long bike rides, photography field trips with friends and family, and strolls with her dog.

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Tom Shafer, PhD

Data Scientist

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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Colin Thomas

Software Engineer

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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Niral Upadhyaya

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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Jeffrey Whittemore

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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