  Control knowledge improves the performance of a problem solver by guiding it to more efficient and accurate solutions. My research involves using a combination of analytical and inductive machine learning techniques to acquire this control information.  I am particularly interested in using such methods to improve the performance of planning and scheduling systems. For more information, I have included a detailed <a href="http://www.cs.utexas.edu/users/estlin/prop.ps"> description of my research</a>, my <a href="http://www.cs.utexas.edu/users/estlin/cv.ps"> vita</a>, and a <a href="http://www.cs.utexas.edu/users/estlin/pubs.html"> list of publications</a>. Also, check out the  <a href="http://www.cs.utexas.edu/users/ml/">Machine Learning Research Group</a> page. <p>
