personnel profile

Research Statement

Shachter's interests include:

• influence diagram knowledge representation and solution
• intelligent decision systems
• medical decision analysis
• medical technology assessment
• decision analysis fundamentals
• planning under uncertainty

Prof. Shachter joined Stanford's EES Department directly after receiving his Ph.D. degree. His doctoral dissertation developed a method for purchasing an expert's forecast that encourages accurate revelation of the expert's beliefs as probabilities. His interest in medical decision analysis led to joint work on scheduling patients for follow-up bladder cancer therapy.

In recent years, his research has focused on the representation, manipulation, and analysis of uncertainty and probabilistic reasoning in decision systems. As part of this work, he developed the DAVID influence diagram processing system for the Macintosh. He has worked closely with many students in Bioinformatics, where he holds a courtesy appointment. He has been active in the Conference on Uncertainty in Artificial Intelligence, is a full member of INFORMS and its Decision Analysis Society. He has held memberships in the American Association for Artificial Intelligence and the Society for Medical Decision Making.

For a complete list of Shachter's publications and student doctoral dissertations, see his publications page.

Degree	Discipline	Year	School
PhD	Operations Research	1982	UC Berkeley
MS	Operations Research	1979	UC Berkeley
BS	Management	1976	Massachusetts Institute of Technology

Course Number	Course Title	Link
MS&E 108	Senior Project	http://www.stanford.edu/class/msande108
MS&E 355	Influence Diagrams and Probablistic Networks	http://www.stanford.edu/class/msande355
MS&E 152	Introduction to Decision Analysis	http://www.stanford.edu/class/msande152
MS&E 120	Probabilistc Analysis	http://www.stanford.edu/class/msande120
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