About me

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.

Research Interests

My research interests are broadly in the intersection of data mining and bioinformatics. My published work considers statistical approaches to studying gene expression data. Moving forward I am interested in working on integrative models for genetic interaction that take advantage of multiple types of biological data.

Publications

  • 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 Ferdig, Scott J. Emrich. A Supervised Learning Approach to the Unsupervised Clustering of Genes. IEEE BIBM. Hong Kong, China, December 2010. 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. (to appear)

Contact

emailarider1@nd.edu
mailComputer Science & Eng.
326 Cushing Hall
Notre Dame 46556