Xiaoli Fern is an associate professor of computer science at Oregon State University. She received her Ph.D. (2005) in computer engineering from Purdue University and her M.S. (2000) and B.S. (1997) degrees from Shanghai Jiao Tong University. Her research interests are in machine learning and data mining, specifically in the area of unsupervised learning, including clustering, correlation analysis, dimension reduction, outlier detection and frequent pattern mining. She is particularly interested in scientific applications of data mining and is an active faculty member of the IGERT Ecosystem Informatics program at OSU.

My general research interests are in the area of data mining and machine learning. I am particularly interested in the following areas:

• Ensemble methods for unsupervised learning
• Multi-view clustering of data Interactive unsupervised learning for self trained systems
• Core cluster identification
• Data mining interpretability issues
• Active learning

I also work in a variety of application areas:

• Ecological and enviromental science
• Biological data analysis - gene sequence and expression data analysis
• Human computer interaction data analysis
• Bioacoustics