David Donoho

David Donoho is the Anne T. and Robert M. Bass Professor of Humanities and Sciences and Professor of Statistics at Stanford University. His work bridges theoretical and computational statistics, signal processing, and harmonic analysis, with a focus on advancing reproducible research through innovative software development.

His research explores the detection of rare but weak phenomena across multiple test statistics, addressing challenges in statistical inference and signal recovery. He has pioneered methods to transparently capture and share data analyses, promoting openness in computational science.

Donoho's contributions to statistics and signal processing are foundational, particularly in high-dimensional data analysis and sparse representation. His expertise intersects disciplines such as applied mathematics, machine learning, and information theory.