Monday, June 24, 2013

Erin : What I do

  • 10 years industry experience as Software and Systems Engineer
  • Masters Systems Engineering, University of Arizona, 2006
  • Doctoral Student - Computer Engineering
    • NSF WVEPSCOR STEM Fellow 2012
    • NSF WV NanoSAFE Fellow 2013
Research Interests:
  • Unsupervised Learning
  • Association Learning
  • Biclustering
  • Large Datasets where Attributes >= Instances
  • Bioinformatics
Research Project: 

Crowd Heuristics Algorithm Learning Kit (CHALK)

    Goal: Develop a Virtual Screeing for DNA Aptamers leveraging insights from aptamer researchers

    Algorithm: EMFP
  • Combining Association Learning and Probabilistic Clustering into a Biclustering Framework
  • Pattern-based, Soft Biclustering Algorithm for Binary Dbs
  • High quality ( F, pd, prec), low error ( RMSE, pf ) statistically relevant biclusters
  • Compared to BicBin, vanUitert08

        Paper pending internal review

   Further Research:
  • Show that Prelic's Match Score is biased against statistically relevant small clusters in high noise databases. Prelic06
  • Develop a streaming EMFP implementation

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