Jack Siegrist is a statistician with a background in ecology, risk analysis, and imprecise probability. Jack received his Master's in applied statistics from Colorado State University and his Master's in biology from Southeastern Louisiana University after completing his BS in biology at the University of Texas. Jack has worked with Applied Biomathematics on a variety of projects dealing directly with environmental sensor data, statistical modeling, and the use of sparse datasets for risk assessment. He has helped to lead our popular risk analysis workshops at Society for Risk Analysis annual conferences and engaged in cross-disciplinary scholarship testing mechanisms of decision-making through experimental psychology.