Erin : What I do

Biography:

• 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