J. Rene van Dorp has been exposed to multiple projects assisting organizations in making structured decisions involving complex systems, specializing in risk and reliability problems. His research has resulted so far in 49 refereed journal publications, 18 conference proceedings, 1 book, 4 book chapters and 23 technical reports. As of December 31st, 2021 he has 3166 citations and an h-index of 31. General themes have been the development of formal methods integrating expert judgment, distribution theory, available data and Monte Carlo Methods, specifically, Markov Chain Monte Carlo Methods, Monte Carlo Integration for Uncertainty Analysis and Maritime Traffic Simulation. Clients include Idaho National Labs, The Washington State Department of Ecology, The Puget Sound Partnership, Makah Indian Tribe, BP, the San Francisco Bay Water Transit Authority, Washington State Department of Transportation, Prince William Sound Shipping Companies, United States Coast Guard, United States Air Force and the National Science Foundation. His responsibilities ranged from organizing and overseeing data analysis efforts; developing, validating and integrating various mathematical/statistical models to creating presentations/reports describing technical findings in ways for both experts and lay persons. The success of these projects depended to a large extent on the successful integration and coordination of the work of a team of analysts/researchers.