I am a Seattle-based statistician and population modeler with more than 30 years of experience applying quantitative methods to understand and manage fish, plant, and animal populations around the world. My work blends rigorous theory with practical tools to guide conservation, monitoring, and management programs. I have developed life-cycle, passage, and population viability models for Pacific salmon and published research on eulachon, American shad, and many other species. I also design tools that help estimate key ecological parameters, such as the proportion of hatchery-origin fish on spawning grounds using parentage-based tags.

Over the years, I have introduced innovations that advance how we understand populations. I developed methods to compare population projection matrices of different dimensionality, created new frameworks for analyzing transient dynamics, and introduced balancing to population ecology, which accounts for the value of different life stages. These approaches make demographic statistics scale-invariant and allow meaningful comparisons across species and life stages. By applying these methods, I help researchers, agencies, and organizations make informed decisions that support conservation and sustainable management in an era of accelerating global change.

I continue to expand my skills in GIS, machine learning, and neural networks, staying at the forefront of population science. I welcome opportunities to collaborate with researchers, agencies, and organizations on projects that require innovative population modeling, data analysis, or ecological monitoring. If you are seeking expertise in understanding populations, improving management strategies, or designing research programs, I would be glad to discuss how we can work together.