Computer Science

I spend much of my time fiddling with, learning about, and generally working with computers. I learned most of what I know today about computers at the School of Computer Science at Carnegie Mellon University.

Today, I work at IBM in the Advanced Internet Technology group. I am part of an effort to advance the state of the art of internet application development. Most recently, I've worked with IBM Life Sciences to develop a product known as InsightLink. It is designed to help scientist do their research more efficiently bye allowing them to annotate data and documents and later analyze the data in those annotations.

Previously, our work was been focused on creating a next-generation framework for application development known as Sash. I have been working with many emerging Web Services technologies.  I became involved in Sash as an intern in IBM's Extreme Blue program in the summer of 2000. During the internship program I was part of the team building the development environment for the Linux version of Sash (SashXB) that was being implemented also in the internship program.  I have remained active with SashXB during my regular employment at IBM.  SashXB is now a part of the GNOME project.

I've published a series of articles about Web Services standards.  The first article, second article and third article in the series are out right now on the IBM developerWorks Web Services Zone.

I'm also involved in the specification of the Life Science Identifier (LSID) at the Technical Architecture Workgroup of the Interoperable Informatics Infrastructure Consortium (I3C).

Before graduating I worked as a research assistant for Maxine Eskenazi in Carnegie Mellon's Language Technologies Institute.  I worked on the Fluency project which used the Sphinx speech recognition engine to help teach proper language pronunciation.  That project was the beginnings of the Carnegie Speech company.

I also did research with Michael Mateas on Terminal Time, an artificial intelligence art project which automatically generates biased documentaries of history based upon audience input.