Research Interests
- Algorithms for learning the structure of Bayesian networks
- Local causal discovery methods for identification of parents and children or Markov Blankets
- Methods for variable selection on high-dimensional data sets
Teaching Experience
Current Classes
Fall 2012
- cs2311
Discrete Structures
Course Materials on Canvas
MWF 11:05-11:55am, Fisher 325
Office Hours: TBD, e-mail, and by appointment
Upcoming Courses (final schedule TBD)
- Spring 2013 cs4811 Artificial Intelligence
- Spring 2013 cs4090 - Special
Topics - Data Mining
Previous Classes
Spring 2012
- cs2311 Discrete Structures
Fall 2011
- cs2311 Discrete Structures
- cs5811 Advanced Artificial
Intelligence
Spring 2011
- cs2311 Discrete Structures
- cs4811 Artificial
Intelligence
Fall 2010
- cs2311 Discrete Structures
- cs4099 Directed Study: Artificial
Intelligence
Spring 2010
- cs4811 Artificial
Intelligence
Fall 2009
- cs2311 Discrete
Structures
Previous Courses as TA/Lecturer
Vanderbilt University
- BMIF 330/CS 396 Machine Learning for Biomedicine Spring 2008, 2009
- BMIF 315 Methodological Foundations of Biomedical Informatics Spring 2007, 2008, 2009
- BMIF 330 Biomedical Artificial Intelligence Spring 2006
- BMIF 300 Foundations of Biomedical Informatics Fall 2006, 2007
University of Michigan
- EECS 200 Introduction to Digital Logic Fall 2000, Spring 2001
Education
- Ph.D., Dept. of Biomedical Informatics, Vanderbilt University,2009
- M.S., Dept. of Biomedical Informatics, Vanderbilt University, 2005
- M.S.E., Dept. of Electrical Engineering and Computer Science, University of Michigan, 2002
- B.S., Dept. of Engineering, Swarthmore College, 2000
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