- Professor; Environmental Science, Policy, and Management; UC Berkeley
Perry de Valpine is a mathematical and statistical ecologist. He leads the development of a computational statistics programming system called NIMBLE. NIMBLE facilitates the implementation and sharing of algorithms, such as Markov chain Monte Carlo and sequential Monte Carlo, that can operate on general model structures. In ecology, his work has primarily addressed questions about ecological population dynamics with a focus on how to estimate realistic models from noisy data to estimate abundance, density feedbacks, species interactions, and climate effects.