Predoctoral Trainee

Michael J. Waddell Computer Sciences Doctoral Training Program Dept. of Computer Sciences Faculty Supervisor: C. David Page Email: mwaddell@biostat.wisc.edu Personal web page: http://www.biostat.wisc.edu/~mwaddell/ 265-3712

My research focuses on integrating human expert feedback into a learning system. This includes making data mining systems more interactive as well as studying the underlying process that a learning system is using and not just using it as a "black box."

Resume

Resume 2004 (.pdf format, Download Reader)
http://www.biostat.wisc.edu/~mwaddell/profile.html

Publications

M. Waddell, D. Page, F. Zhan, B. Barlogie and J. John Shaughnessy (submitted). "Predicting Cancer Susceptibility from Single-Nucleotide Polymorphism Data: A Case Study in Multiple Myeloma." Bioinformatics.

J. Hardin, M. Waddell, C. D. Page, F. Zhan, B. Barlogie, J Shaughnessy, Jr. and J. Crowley (in press). "Evaluation of Multiple Models to Distinguish Closely Related Forms of Disease Using DNA Microarray Data." Statistical Applications in Genetics and Molecular Biology.

M. Molla, M. Waddell, D. Page and J. Shavlik (2004). "Using machine learning to design and interpret gene-expression microarrays." AI Magazine 1: 23-44.

I. d. C. Dutra, D. Page, V. S. Costa, J. W. Shavlik and M. Waddell (2003). Toward automatic management of embarrassingly parallel applications. Lecture Notes in Computer Science (Proceedings, 9th International Euro-Par Conference). H. Kosch, L. Bszrmnyi and H. Hellwagner, Springer-Verlag. 2790: 509-516.

M. L. DeRider, S. J. Wilkens, M. J. Waddell, L. E. Bretscher, F. Weinhold, R. T. Raines, and J. L. Markley, Collagen Stability: Insights from NMR Spectroscopic and Hybrid Density Functional Computational Investigations of the Effect of Electronegative Substituents on Prolyl Ring Conformations, Journal of the American Chemical Society, 124(11): 2497-2505, Mar 2002.

D. Page, F. Zhan, J. Cussens, M. Waddell, J. Hardin, B. Barlogie, and J. Shaughnessy, Jr., Comparative Data Mining for Microarrays: A Case Study Based on Multiple Myeloma. Technical Report 1453, Computer Sciences Department, University of Wisconsin, Nov 2002.

M. J. Waddell, C. D. Page, F., Zhan, B. Barlogie, J. Shaughnessy, Jr., J. Hardin, and J. Cussens, Comparative Data Mining for Microarrays: A Case Study Based on Multiple Myeloma, International Conference on Intelligent Systems for Molecular Biology, Poster Session 1, Edmonton, Alberta, August 4, 2002.

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File last modified: August 14, 2003
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