Dan has more than 20 years of experience and is an expert in applying decision intelligence (applied data science + social science + management science) across multiple industries and domains including healthcare and public health, cybersecurity and intelligence, reliability and safety of engineered systems, and risk management. He is a PhD-level decision scientist and consulting executive who helps organizations better leverage data and technology as strategic and operational assets to answer key questions, spur innovation, drive performance improvement, optimize resource allocation, and create value by improving the quality of business decisions at scale.
Before joining Guidehouse in June 2021, Dan served as the Chief Technology Officer and Chief Data Scientist for ReefPoint Group—a Service Disabled Veteran Owned Small Business (SDVOSB) consulting firm that specializes in data science and advanced analytics, health innovation and technology, technology integration and interoperability, and operational readiness and logistics. Before joining ReefPoint Group, Dan served as a Senior Data Scientist for Innovative Decisions, where he developed and evaluated a spectrum of machine learning models to enhance insider threat detection applications. He also previously served for 10 years as a Reliability Engineer and Risk Analyst for the U.S. Nuclear Regulatory Commission (USNRC), where he performed probabilistic risk-benefit-cost analyses to develop and prioritize potential risk management strategies designed to enhance the reliability and safety of engineered nuclear systems. Finally, as a High Reliability Organization (HRO) Subject Matter Expert with the Johns Hopkins Armstrong Institute for Patient Safety and Quality, Dan leveraged his expertise to measure the impacts of large-scale collaborative research efforts involving major medical centers across multiple health systems to improve patient safety and healthcare quality.
Dan is a Veteran of the U.S. Armed Forces, where he served on active duty for more than 11 years. He first served as an Electronics Technician in the U.S. Marine Corps. After graduating from the U.S. Naval Academy, he then served as a Navy Diver and Submarine Warfare Officer in the U.S. Navy.
Ph.D., Health Policy and Management (Predictive Analytics Concentration), Johns Hopkins University M.S., Reliability Engineering (Probabilistic Risk Analysis Concentration), University of Maryland B.S. with Distinction, Aerospace Engineering (Astronautics Concentration), U.S. Naval Academy
Certified Analytics Professional (CAP), INFORMS Analytics Certification Board (ACB) Certified in Public Health (CPH), National Board of Public Health Examiners (NBPHE) Executive Data Science, Johns Hopkins University
Membership and Activity Information
Subject Matter Expert, National Science Foundation IT Skills Standards Development Project (2020–Present) Official Member and Contributor, Forbes Technology Council (2020–2021) Board of Directors, Society of Decision Professionals (2019–Present) Executive Committee and Board of Directors, Society for Benefit-Cost Analysis (2018–2019)