University of Montana, B.S., Resource Conservation, 1984
Yale University, M.S., Forestry and Environmental Studies, 1992
University of Idaho, Ph.D., Natural Resources, 1998
Program Manager (acting), Human Performance Research, Development and Applications
The new Human Performance RD&A was chartered in summer 2014 to: explore the state-of-knowledge and practice in the broad field of human performance (including: psychology, individual and organizational resilience, learning, and risk). build situated knowledge of Forest Service work environments and employees, and design and test interventions and delivery mechanisms to improve employee and organizational resilience (health, wellbeing, performance, safety). The unit will serve as a central node leveraging internal and external expertise to drive adaptive performance and resilient operations in the Forest Service and beyond. Outcomes will be a more resilient and higher performing Agency. There will be fewer significant accidents/errors, more effective incorporation of insights and lessons into work routines, and improved morale and work environment. Employees will be more resilient to both day-to-day and traumatic events. Teams and local units will similarly have better tools and capacity to weather, rebound and learn from expected and unexpected stresses.
Social Science Analyst, Human Factors & Risk Management Research, Development and Application Unit
Research Social Scientist (post-doc), Aldo Leopold Wilderness Research Institute
2006 to 2010
Post-doctoral Ecologist, Aldo Leopold Wilderness Research Institute
Recognizing the need to enhance learning from escaped prescribed fires, the Rocky Mountain Research Station analyzed current review processes through a series of five regional, interagency dialogue sessions. These two-day workshops were held in Portland, Denver, Salt Lake City, Tucson, and Tallahassee between January and July 2011.
Integrating Forests, Fish, and Fire (IF3) is a Bayesian decision-support model that uses information on forest vegetation, human alterations to habitat, and the potential for fire to predict the post-fire persistence of stream fish populations. The model's purpose is to evaluate alternative vectors for maximizing resilience to future fire activity in forest stands that support such sensitive stream fish as bull trout.
The Rocky Mountain Research Station is one of seven units that make up the U.S. Forest Service Research and Development organization – the most extensive natural resources research organization in the world.