The staff at Hubbard Decision Research, or HDR, has a unique and strong background in not only the Applied Information Economics method, but financial analysis, consultation, research, and more. The staff at HDR combine their experiences, education, and know-how to help your organization gain answers you never knew could be determined. Contact HDR today and let our staff help you drive results through our in-depth financial analysis and educational resources on Applied Information Economics.
Douglas W. Hubbard
Mr. Hubbard is the inventor of the Applied Information Economics (AIE) method and founder of Hubbard Decision Research (HDR). He is the author of the #1 bestseller in Amazon’s math for business category titled How to Measure Anything: Finding the Value of Intangibles in Business, The Failure of Risk Management: Why It’s Broken and How to Fix It, and his latest book Pulse: The New Science of Harnessing Internet Buzz to Track Threats and Opportunities. He has sold over 50,000 copies of his books in five different languages.
Mr. Hubbard’s career has focused on the application of AIE to solve current business issues facing today’s corporations. Mr. Hubbard has completed over 80 risk/return analyses of large, critical projects, investments and other management decisions in the last 19 years. AIE is the practical application of several fields of quantitative analysis including Bayesian analysis, Monte Carlo simulations, and many others. Mr. Hubbard’s consulting experience and financial analysis totals over 25 years and spans many industries including insurance, banking, utilities, federal and state government, entertainment media, military logistics, and manufacturing.
In addition to his books, Mr. Hubbard has been published in CIO Magazine, Information Week, DBMS Magazine, Architecture Boston, OR/MS Today, and Analytics Magazine. His AIE methodology, has received critical praise from The Gartner Group, The Giga Information Group, and Forrester Research. He is a popular speaker at IT metrics & economics conferences all over the world.
Matthew Millar is the Manager of Consulting Operations at Hubbard Decision Research. Mr. Millar has used Applied Information Economics and his background in quantitative finance to assist clients across a diverse array of industries – including finance, oil & gas, commercial real estate, internet security, and pharmaceuticals; as well as in more boutique applications, such as agricultural research in the developing world and measuring the benefit of standards to the insurance industry. At HDR, he is also responsible for leading day to day operations, training, and leading client educational workshops and webinars.
Prior to joining HDR, Mr. Millar was a portfolio manager for the hedge fund Armored Wolf, managing a percentage of the funds and working directly with the CIO. Contributing both through direct returns and also through his improvements in the risk analytics system, Mr. Millar helped to build assets and analytic metrics for the hedge fund and associated mutual fund products. Mr. Millar’s work at the hedge fund was quantitatively driven, from algorithmic trading systems to building a model to track volatility and correlations among managers in the firm. Mr. Millar was commonly cited in commodity related articles for Reuters, and was a popular commentator for financialsense.com
Prior to his work in the financial field, Mr. Millar was a musician, playing cello for the Seattle Symphony and Seattle Opera. He has a Master of Science degree in Economics from the University of Oregon, where he specialized in monetary policy, econometrics, and the role of crude oil in the US economy.
Nathan DauSchmidt is a Quantitative Analyst with Hubbard Decision Research. He spent over two years in the International Finance Division of the Federal Reserve Board of Governors before coming to HDR. At the Federal Reserve he helped maintain and run the model to predict the net contribution to GDP from imports and exports. He also provided research assistance to economists on subjects ranging from art as a consumption good, to international commodity supply shifts, and briefings for the Board.
Since joining HDR, Nathan has worked on many projects in diverse fields. Some of his project tasks have included forecasting Manhattan real estate prices, conducting a survey on agricultural data needs in Africa and coauthoring the results, and designing and modeling IT security risks for a large multinational. Nathan’s regression analysis has shown to be very useful in helping clients express statistically what they have only been able to conjecture about before. When working on a project, his favorite part is explaining the methods he uses to clients.
Nathan is engaged in promoting financial literacy, primarily among children and teenagers. He has taught classes for UW—Madison’s PEOPLE Program, co-founded an educational outreach program called FedEd for the Federal Reserve, and currently serves on the board of the Financial Resiliency Foundation.
Jolene Manning is a Senior Quantitative Analyst with Hubbard Decision Research. She has a strong background in financial and actuarial analysis. Her professional experience lies largely within the insurance industry, where she spent five years engaged in work across a broad spectrum of disciplines, including: actuarial pricing, run-off portfolio management and analysis, global project management, and catastrophe modeling. She has been with HDR since 2012, and in that time has been involved in creating multiple decision models for clients in the insurance and agricultural industries.
Jolene earned her Bachelor’s Degree in Pure Mathematics at Michigan State University in East Lansing, Michigan and her Master’s Degree in Applied Mathematics at DePaul University in Chicago, Illinois. In addition to her experience in the insurance industry, Jolene spent several years teaching Mathematics at the secondary level before moving to the Chicago area and continues to teach classes in Mathematics and Statistics at the college level.
Christopher is a Senior Quantitative Analyst at Hubbard Decision Research. He comes to HDR with a quantitative educational background and several years of experience as an analyst in the retail industry. He is a well-rounded generalist in modeling and is a highly sought advisor for Excel and VBA solutions. His professional development interests include learning new modeling techniques and implementing automation in decision-systems.
Prior to joining HDR, Mr. Maddy was in a consulting role at Foresight Associates and at Retail Solutions, Inc., where he worked with an array of Fortune 100 clients to create specialized reporting solutions and custom applications to address business questions.
Mr. Maddy’s educational credentials include a B.S. in Chemical Engineering from the University of Iowa, an MBA from Boise State University, and a M.S. in Finance from the University of Utah. He gave lectures and was the instructor for several classes in Business Statistics while pursuing MBA studies at Boise State University. Mr. Maddy has taught preparatory courses for the GMAT exam and has been an independent consulting developer of VBA programs.
Tom Verdier is an intern at Hubbard Decision Research. He comes from a diverse background in clinical and academic psychology. He received his B.A. in Psychology with a minor in Philosophy from the University of Rhode Island in 2011 and has taken a variety of graduate psychology and statistics courses. He shares an interest with Doug Hubbard in the work of psychologist Paul Meehl. Since joining HDR, he has served as the primary research assistant for the third edition of How to Measure Anything and has played a key role in the creation of supplementary materials. Tom has also been active in a variety of marketing-related activities.
Before joining HDR, Tom worked as a vocational evaluator for the Federal Hill House in Providence, RI. He also has experience in forensic psychology consulting, where he assisted in the review of court reports to determine scientific legitimacy of mental health claims. Tom has been active in assessment psychology research for the University of Rhode Island, and completed his undergraduate internship with Rhode Island Hospital’s Neuropsychology Unit.
Katherine Masko is an intern at Hubbard Decision Research. She joins HDR with a degree in Civil and Environmental Engineering from the University of Illinois Urbana-Champaign. In her studies, she focused on the area of sustainable and resilient infrastructure systems. Along with taking advanced mathematics coursework, she has also completed courses such as Engineering Risk and Analysis and graduate-level Applied Statistical Methods where she learned to use statistical software.
While earning her bachelor’s degree, Katherine worked for the U.S. Army Corps of Engineers as an engineering aid and later as an engineering technician. During her work with the USACE, she was involved with a variety of research and development areas including material testing and evaluation, building information modeling and data analysis. After completing her degree, she worked for the UIUC College of Engineering supporting innovative educational programs and courses as well as researching sustainable technology applications.
Since starting with HDR, Katherine has contributed to copy editing the third edition of Doug Hubbard’s book How to Measure Anything. She has also helped edit and prepare client deliverables such as proposals, reports, and decision models. She has most notably assisted with deliverables related to work with the Consultative Group on International Agricultural Research.
Aaron Davenport is an intern at Hubbard Decision Research. He comes to HDR with a strong background in the disciplines of Applied Mathematics and Statistics. Having earned his Bachelor of Science Degree in Mathematics at King College in Bristol, TN, he is currently pursuing a Master’s Degree in Applied Statistics at DePaul University in Chicago, Illinois.
As a member of the Statcom Committee at DePaul University, Aaron has analyzed real-world data from a variety of disciplines; from predicting student loan default rates, to using time series regression techniques in order to determine the opportune time buy/sell bonds, and even predicting which key predictive factors place high school students at a higher chance of risky behavior. Aaron has also worked on analysis of survey results for faculty at East Tennessee University in Johnson City, TN.