I am a graduate student in the department of computer science and engineering at the University of Notre dame. I am co-advised by Dr. Scott Emrich and Dr. Nitesh Chawla. I am a member of the Data, Inference, Analysis, and Learning laboratory and the Notre Dame Bioinformatics laboratory. I am affiliated with the Interdisciplinary Center for Network Science and Applications (iCeNSA) and the Eck Institute for Global Health.
My research interests cover unsupervised learning, ensemble methods, topic models, and methods to utilize heterogenous data. I primarily work in the application area of bioinformatics.
- Andrew K. Rider, Geoffrey Siwo, Nitesh V. Chawla, Michael Ferdig, Scott J. Emrich. A statistical approach to finding overlooked genetic associations. BMC Bioinformatics 2010, 11:526. PDF
- Andrew K. Rider, Geoffrey Siwo, Nitesh V. Chawla, Michael T. Ferdig, Scott J. Emrich. A Supervised Learning Approach to the Ensemble Clustering of Genes. International Journal of Data Mining and Bioinformatics. June 2011 PDF
- Andrew K. Rider, Geoffrey Siwo, Nitesh V. Chawla, Michael Ferdig, Scott J. Emrich. A Supervised Learning Approach to the Unsupervised Clustering of Genes. IEEE BIBM. Hong Kong, China, December 2010. PDF
- Reid A. Johnson, Yang Yang, Everaldo Aguiar, Andrew K. Rider, Nitesh V. Chawla. ALIVE: A Multi-Relational Link Prediction Environment for the Healthcare Domain. Third Workshop on Data Mining for Healthcare Management, PAKDD 2012. (To appear)
- Andrew K. Rider, Nitesh V. Chawla, Scott J. Emrich. A survey of current integrative network algorithms for systems biology. Ales Prokop and Béla Csukás (Eds.) Springer, (to appear 2013)
|Computer Science & Engineering
326 Cushing Hall
Notre Dame 46556