Don Percival is currently an Honorary Emeritus and Affiliate Professor in the Department of Statistics, University of Washington, Seattle, Washington. Prior to his retirement in 2018, he was a Senior Principal Mathematician at the Applied Physics Laboratory, a Professor in the Department of Statistics, a member of the Faculty of the Quantitative Ecology and Resource Management (QERM) Interdisciplinary Graduate Program and one of the founding members of the National Research Center for Statistics and the Environment. He received a B.A. from the University of Pennsylvania (1968; astronomy); an M.A. from George Washington University (1975, mathematical statistics); and a doctorate from the University of Washington (1983, statistics), where he was the first Ph.D. student to graduate from the Department of Statistics. From 1968 to 1978 he was an Astronomer with the Time Service Department of the U.S. Naval Observatory in Washington, D.C., where he worked on the generation of atomic clock time scales and on the analysis of the frequency stability of high-performance oscillators. Dr. Percival's research interests include spectral analysis, wavelets and use of statistical methodology in the physical sciences. He is the co-author (with Andrew Walden) of the textbooks Spectral Analysis for Physical Applications: Multitaper and Conventional Univariate Techniques (1993), Wavelet Methods for Time Series Analysis (2000) and Spectral Analysis for Univariate Time Series Analysis (2020), all three published by Cambridge University Press, Cambridge, England.