Yoonkyung Lee
Yoonkyung Lee is a professor of statistics at Ohio State University, and also holds a courtesy appointment in computer science and engineering at Ohio State. Her research takes a statistical approach to kernel methods, dimensionality reduction, and regularization in machine learning.
Yoonkyung Lee | |
|---|---|
| Alma mater | Seoul National University University of Wisconsin-Madison |
| Known for | kernel method dimensionality reduction machine learning |
| Scientific career | |
| Fields | Statistics |
| Thesis | Multicategory Support Vector Machines, Theory, and Application to the Classification of Microarray Data and Satellite Radiance Data (2002) |
| Doctoral advisor | Grace Wahba |
Professional career
Lee earned bachelor's and master's degrees in computer science and statistics from Seoul National University in Korea in 1994 and 1996.[1] She completed her Ph.D. in statistics in 2002 at the University of Wisconsin–Madison, under the supervision of Grace Wahba and Yi Lin, with a dissertation about support vector machines and their applications to microarray and satellite data.[1][2] She joined the Ohio State faculty in 2002 and was promoted to full professor in 2016.[1]
Recognition
In 2015, Lee was elected as a Fellow of the American Statistical Association "for fundamental and influential research on the multicategory support vector machine; for work at the edge of statistics and computer science and building a bridge between the statistics and machine learning communities; and for editorial and program committee service to the profession."[3][4]
References
- Curriculum vitae, retrieved 2016-07-10.
- Yoonkyung Lee at the Mathematics Genealogy Project
- "ASA name 62 new Fellows", IMS Bulletin, October 2, 2015.
- ASA name 62 new Fellows: Selection honors each as "foremost members" of statistical science (PDF), American Statistical Association, June 4, 2015, retrieved 2016-07-10.
