HDR Staff

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

Douglas Hubbard is the inventor of the Applied Information Economics (AIE) method and founder of Hubbard Decision Research (HDR). He is the author of 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, Pulse: The New Science of Harnessing Internet Buzz to Track Threats and Opportunities and his latest book, How to Measure Anything in Cybersecurity Risk (Wiley, 2016). He has sold over 100,000 copies of his books in eight different languages.  Two of his books are required reading for the Society of Actuaries exam prep.  In addition to his books, Mr. Hubbard has been published in several periodicals including Nature, The IBM Journal of Research and Development, OR/MS Today, Analytics, CIO, Information Week, and Architecture Boston.

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 100 risk/return analyses of large, critical projects, investments and other management decisions in the last 20 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 totals over 29 years and spans many industries including insurance, financial services, pharmaceutical, healthcare, utilities, energy, federal and state government, entertainment media, military logistics, and manufacturing. His AIE methodology, has received critical praise from The Gartner Group, The Giga Information Group, and Forrester Research. He is a popular speaker at valuation, risk, metrics and decision analysis conferences all over the world.

Philip Martin

Chief Operations Officer (COO)

After receiving his undergraduate degree in Mathematics from Harvey Mudd College, Philip spent over a decade as a software engineer before returning to school to continue his academic pursuits. He later received an M.S. and Ph.D. in Decision Analysis from Stanford University. Philip spent his time in Stanford’s Management Science and Engineering department studying under Ron Howard, one of the creators of Decision Analysis. Philip’s academic career and research covered many areas including Mathematics, Probability, Optimization, Game Theory, and Ethics. He developed and taught one of the department’s Probability courses and received a Teaching Award from the Stanford Center for Professional Development.

Philip has spent most of his professional career in the software engineering industry, both as an engineer and in recent years, a program manager. He has worked for Raytheon as a software engineer, and with companies such as Blue Origin and Collins Aerospace as a program manager. Most of this work in recent years has been with avionics software companies working on testing and verification of their software to be in compliance with the FAA’s safety standards. In addition to program management, Philip has been responsible for developing new training methodologies and tools for engineers, as well as providing risk analysis assessments for projects and proposals.

Philip’s academic research focused on small, repeated decisions and strategy optimization. With the application of Decision Analysis to areas where decisions are frequently made but not analyzed with extensive rigor, the thought was to identify areas where models and mathematics may suggest certain actions, but those actions are not observed in actual human behavior. This attempt to align the math and optimizations to how people actually behave ultimately led to his dissertation, titled: Habit Analysis: Using Decision Analysis to Take Control of Habits. People still don’t always do what the models suggest they should, but in some cases we can identify why that is the case.

Andrew Adams

Director of Consulting Operations (DCO)

Andrew is an experienced data scientist specializing in applying information science and applied statistics to real world problems. Andrew has worked with HDR for several years and has become adept at applying the Applied Information Economics method to problems in many different industries including insurance, healthcare, pharmaceuticals, cybersecurity, and consulting services.

While working with HDR, Andrew has built dozens of customized Monte Carlo models that leverage internal data sources, industry research, calibrated estimates, and Bayesian statistical methods. These models leverage information from and run on a variety of different customer information systems while providing actionable results to companies of all sizes. Andrew’s experience in tutoring and teaching mathematics during university also provides a solid framework for teaching clients to use and modify their models as if they had built them themselves, as well as develop a complete understanding of the methods that went into them.

Prior to working with HDR, Andrew has previously worked with IBM and the BC Centre for Excellence in HIV/AIDS on using machine learning and personalized medicine approaches for reducing the disease burden of HIV-1 infected patients. Andrew also developed a great deal of experience working with high performance computing resources and Monte Carlo simulations with the machinery and members of the Western Canadian Research Grid. Through this work Andrew has developed a passion for analyzing and applying statistical techniques to accurately model large data sets.

Andrew started his academic career at McGill University completing his Bachelor of Commerce before moving to pursue an education in higher level mathematics. While completing his MSc. in Applied Mathematics Andrew developed an interest in combining rigorous probability and dynamical systems to model real world problems in the biomedical and health care fields. Along with the Complex Systems Modeling Group at Simon Fraser University Andrew was able to apply these skills to modeling workplace efficiency in the BC criminal justice system as well as model the spread and possible interventions that could be done on Vancouver’s HIV epidemic. He enjoys working and learning from people in all academic fields as well as teaching and helping people to understand how mathematics and statistics can improve and inform many workplace decisions.

Peter Mallik

Director of Cognitive Research

Prior to becoming the Director of Cognitive Research at HDR, Peter worked as a Senior Quantitative Analyst at HDR consulting with various high-level clients across different industries to solve complex valuation and measurement problems. Peter received his PhD from The University of Akron in 2019 where he studied Psychology with an Emphasis on Adult Development and Aging (specifically Cognitive Aging). Peter specialized in the assessment and measurement of noise (as well as other cognitive phenomena that contribute to decision making) using a variety of behavioral and electrophysiological techniques (such as Event-Related Potentials). Peter is an active member of various psychological organizations such as The Psychonomic Society and The Psychological Science Accelerator. Peter’s academic work can be found in various top-tier journals including Experimental Aging Research, The Journal of Cognitive Psychology, Nature: Human Behavior, and The Journal of Cognitive Enhancement and others.

Robert Weant

Sr. Quantitative Analyst

Robert Weant is a quantitative analyst at Hubbard Decision Research (HDR) who has successfully led several large projects and acted as project support for many others. These risk-focused projects have been conducted for a variety of industries including utilities, healthcare, and manufacturing. Robert has also been instrumental in developing algorithms that have enhanced the methods used by AIE and increased the effectiveness of the Monte Carlo simulations we build for our clients.  

Prior to joining HDR, Robert graduated with an M.S. in Economics from the University of North Carolina Charlotte and an M.S.B.A in Applied Finance from Copenhagen Business School located in Denmark. While pursuing higher education he worked in Business Intelligence and focused his academic efforts on quantitatively testing financial portfolios to optimize risk-adjusted returns. In addition to this, he also led a team of economics students to successfully compete in a monetary policy competition hosted by the Federal Reserve to become one of the top five finalists in the country. Through both his work in academia and his career he has evolved a strong passion for handling data sets and how applying statistical methods to them can greatly enhance one’s comprehension of the world we live in. 

Robert’s technical skills in Excel, Power BI, and Python have led him to skillfully streamline model deployment for our clients and automate workload. Having gained significant international experience from living in three countries (USA, Denmark, and China), he has developed the ability to effectively communicate with people regardless of their background and help them understand how quantitative methods can improve their decision-making.

Rishi patel

Quantitative Analyst

Rishi Patel is a quantitative analyst at Hubbard Decision Research (HDR) who has successfully applied his skills in statistical programming and modeling to various personal and professional projects. Rishi has an M.S. in Finance from Pennsylvania State University, an MBA from Cornell University, and a B.S. in Business Management from the Rochester Institute of Technology. Rishi has several years of experience in quantitative finance and has produced research in the areas of portfolio theory, behavioral finance, and commodity pricing. Rishi is proficient in R, Excel, Python, SQL, and many other tools and languages. He is passionate about learning new techniques and solving complex problems with data. 

Richie Modad

Software Architect

Richie joined the HDR Team in 2022 as the Web Application Software Architect. After spending over a decade in media production and marketing, Richie transitioned into software development, cloud orchestration, and data engineering full-time. With a diverse technical background and passion for problem solving, his fascination with machine learning, data engineering, and user experience compliment his professional background in media and design. Born in Detroit, MI, he has lived and worked in Florida, Texas, Hawaii, Thailand, and California before settling in Las Vegas, NV, where he currently resides. In addition to programming, Richie enjoys playing music and learning new home improvement skills.

Elizabeth Swan

Executive Assistant

Elizabeth Swan is a new Administrative Executive Assistant to Hubbard Decision Research (HDR) team. Before joining HDR, she received a B.A. in Psychology from the University of Massachusetts at Boston, and has since relocated to Southeast Florida. With over 7 years of experience, she has worked in multiple fields either as an Executive Assistant or Office Manager. She works in close coordination with C-Level Executives and thrives with her attention to detail, expertise in scheduling, and organizational skills. She enjoys spending her free time outside in her garden or reading!