Eithon Cadag, University of Washington

Eithon Cadag XY@u.washington.edu (replace "X" with "e" and "Y" with "cadag") www.eithoncadag.com Biomedical and Health Informatics Department of Medical Education and Biomedical Informatics Box 357240 University of Washington Seattle, WA 98195-7240
About My name is Eithon, and welcome to my obligatory horribly-presented and terribly-organized, 1990's HTML homepage. I'm a recently graduated doctoral student at the University of Washington, and studied Biomedical & Health Informatics. My primary research interests in this field are biomedical data integration (distributed data mining, semantic linkage, query exploration and validation) and applications of artificial intelligence in biomedicine (machine/statistical learning methods on bio-relevant data). Research & Work PyDI and BioMediator: path-based biological data integration Previous work and related software includes: MAGI framework - Java framework for creating consensus-based gene predictions for Trypanosome genomes. GenePyX - very simple drawing abstractions for PyX to allow for gene diagrams (namely gene rearrangement). View my CV for a reasonably up-to-date summary of what I've done. Miscellaneous software (all released under the GPL) PyROC - A simple class to implement generation of Receiver Operating Characteristic curves and their areas; supports partial AUCs (e.g., ROC50), confusion matrices and plotting via matplotlib. Fuzzy package - Rough implementation of a fuzzy logic system developed in Python. I used this to explore symbolic qualitative methods of drug-interactions modeling. PyIndexer - A simply vector-space based Python indexing and retrieval system.		A Wordle of my general exam.