Adele Cutler

Adele Cutler is a statistician known as one of the developers of archetypal analysis[1] and of the random forest technique for ensemble learning.[2] She is a professor of mathematics and statistics at Utah State University.[3]

Originally from England, Cutler moved to New Zealand as a child,[4] and studied mathematics at the University of Waikato and the University of Auckland.[3] She met her husband, statistician Richard Cutler, at the University of Auckland; the couple both went on to graduate study in statistics at the University of California, Berkeley,[4] where she earned a master's degree in 1984 and completed her doctorate in 1988.[3] Her dissertation, Optimization Methods in Statistics, was supervised by Leo Breiman.[5] Her doctoral work with Breiman concerned mathematical optimization techniques in statistics, and introduced archetypal analysis.[6]

After completing her doctorate she joined the faculty at Utah State University in 1988.[4] Her initial research there concerned mixture models, but shifted towards neural networks in the mid-1990s and from there to random decision trees, the basis of the random forest technique.[6]

References
  1. Morup, Morten; Hansen, Lars Kai (August 2010), "Archetypal analysis for machine learning", 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010), pp. 172–177, doi:10.1109/mlsp.2010.5589222
  2. Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (December 2008), "Random Forests", The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed.), New York: Springer, pp. 587–604, doi:10.1007/978-0-387-84858-7_15
  3. Adele Cutler Ph.D., Utah State University Department of Mathematics and Statistics, retrieved 2019-08-24
  4. Cutler, Adele, Personal Information, retrieved 2019-08-24
  5. Adele Cutler at the Mathematics Genealogy Project
  6. "Interview with Adele Cutler: Remembering Leo Breiman", Dan Steinberg's Blog, Salford Systems, retrieved 2019-08-24
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