The Breiman Award Committee of the Statistical Learning and Data Science Section, chaired by David Madigan, invites nominations for the senior and junior awards in honor of Leo Breiman (1928–2005).

Breiman’s work helped bridge the gap between statistics and computer science, particularly in the field of machine learning. His most important contributions were his work on classification and regression trees, ensemble estimators, and random forests.

The Breiman Award Committee selects the Breiman senior scholar and junior scholar based on outstanding theoretical or methodological contributions to machine learning and/or computational statistics—contributions that have made a substantial, sustained impact on the subject and on practical applications. Nominations are accepted in odd-numbered years.

The award includes a monetary prize, a plaque, and an invited lecture at JSM two years later.

The Breiman junior scholar must have earned a doctoral degree no earlier than 2007 and been an SLDS section member for at least two years as of December 15, 2019.

Nominations are due by December 15, 2019. A nomination packet—including a nominating letter, up to three supporting letters (the nominator may write one of the supporting letters), and curriculum vitae of the nominee—should be sent to Madigan.