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 BusinessThe 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

Director of Consulting Operations (DCO)

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.

Jon Murphy

Director of Product Management

Jonathan Murphy is the Director of Product Management for Hubbard Decision Research (HDR). Under this role, he is managing and continually improving the AIE Academy, VIP Subscriber Library, and Calibration/FrankenSME Portal. He is also leading the charge on development of new training, spreadsheet templates, and web-based tools.

In his previous role as Director of Consulting Operations, Jonathan became a skilled practitioner of Applied Information Economics, with expertise in applying methods such as Monte Carlo simulation, Bayesian analysis, modern portfolio theory, and many others. He utilized his knowledge of applied mathematics, probability, and economics to solve a variety of decision and measurement problems, including:

  • Measuring cybersecurity risk and computing “return on controls” for firms in technology services, financial services, entertainment, insurance, retail, and healthcare
  • Optimizing portfolios in areas such as biotechnology products and aerospace/defense R&D
  • Performing major risk/return analyses for investments in cybersecurity, technology services, and financial services

Prior to joining HDR, Jonathan developed his quantitative analysis and project management skills during several quantitative research projects in areas like computational chemistry, bioinformatics, and corrosion science. He also led an effort to research quantitative risk management methods for information security applications in a major financial services company. Jonathan holds B.S. and M.S. degrees in mathematics and a graduate certificate in information security and privacy from the University of North Carolina at Charlotte.

Andrew Adams

Director of Advanced Analytics

Andrew Adams is a new analyst at Hubbard Decision Research specializing in information science and applied statistics. He is an experienced data scientist who 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 handling, developing, and applying approaches 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 a higher level of 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 work place 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.

After finishing his degree and internship Andrew has worked on developing Python code to automate ordering and pricing for small businesses to streamline their workload and data collection. He enjoys working with 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. Andrew is excited to join the HDR team and continue to help businesses get more out of their information.

Peter Mallik

Sr. Quantitative Analyst

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 using behavioral and electrophysiological measures to assess age-related differences in cognition, cognitive performance, and decision making.

Most recently, Peter has worked in academia as a psychology professor where he taught courses on developmental psychology, cognitive aging (as a seminar), neuropsychology, research methods, and general psychology. While working as a professor, Peter became involved with a large-scale multi-national research organization, The Psychological Science Accelerator (PSA), to tackle issues of reproducibility and generalizability in psychological research. Additionally, Peter is involved with the SCORE project (a large research replication project funded by the Center for Open Science).

Peter’s work (both as an individual researcher and as a part of the PSA) has been published in various peer-reviewed journals including Experimental Aging Research, The Journal of Cognitive Psychology, Nature: Human Behavior, and The Journal of Cognitive Enhancement.

Robert Weant

Quantitative Analyst

Robert Weant is a Quantitative Analyst at Hubbard Decision Research (HDR) who has quickly become a skilled practitioner of Applied Information Economics (AIE).  With expertise in developing specific algorithms and unique regression models, he has enhanced methods used by AIE and increased the effectiveness of 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 5 finalists in the country. Through both his work in academia and his career, he has developed a strong passion for handling data sets and applying statistical methods to them to 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.

Ava Chaffin

Quantitative Analyst

Ava Chaffin is a Quantitative Analyst at HDR. She started her academic career at Lee University, obtaining a B.S. in Mathematics with minors in History and Religion, before moving onto Tarleton State University where she completed an M.S. in Mathematics. While in school she has worked on several research projects such as “The Effect of Pain Relievers on the Flu” and “Diagnosing Convergence Insufficiencies and Eye Teaming Disorders.” Ava also taught mathematics from an elementary level up to college level while earning her degrees. She enjoys solving all types of problems and believes that mathematics is useful in every industry and problem.

Richie Modad

Software Engineer

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. Starting 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 spends his time playing music and pursuing side projects such as Real Estate and retail product development.

Subscribe To Our Newsletter

Subscribe to get the latest news, insights, courses, discounts, downloads, and more - all delivered straight to your inbox. 

You are now subscribed to Hubbard Decision Research.