Stephen Dyment, Technology Innovation and Field Services Division, Office of Superfund Remediation and Technology Innovation, EPA
Mr. Dyment is a chemist with more than 15 years experience including 4 years in a commercial analytical laboratory and 8 years in environmental consulting. He joined EPA in 2005 with a focus towards enhancing acceptance and use of emerging analytical technologies and sampling strategies. His perspective draws upon years of practical laboratory and field experience to apply EPA's Triad approach at sites in Superfund, Brownfields, Resource Conservation and Recovery Act (RCRA), underground storage tanks, and state programs. Mr. Dyment's efforts have resulted in the development of numerous EPA case studies, profiles, and training courses that outline successful strategies for the use and understanding of collaborative data sets, adaptive quality control programs, and real time analytics. He holds a B.S. in Environmental Science/Toxicology from the University of Massachusetts at Amherst.

Dr. David LePoire, Environmental Science Division, Argonne National Laboratory
Dr. LePoire has worked at Argonne National Laboratory since 1990 as an environmental analyst developing tools, analysis, and training for environmental characterization (such as the ASAP code for supporting adaptive sampling) and risk assessment (such as the RESRAD code for pathway risk analysis of radionuclides in the environment). He also is concerned with the reduction of environmental risks from potential national security issues. Over the past 20 years he has been involved with projects for U.S. Department of Energy, U.S. Department of Defense, U.S. Army Corps of Engineers, U.S. Department of Homeland Security, U.S. Nuclear Regulatory Commission, U.S, Department of the Interior, and EPA. His primary area of interest is in the effective use of collecting, organizing, analyzing, and presenting information using tools to support environmental actions. He has also researched nuclear and optical diagnostic tools. He has a B.S. in physics and Ph.D & M.S. in computer science.