Office: TCL 305
E-mail: [email protected]
- Ph.D. Columbia University 1992
- M.Phil. Columbia University 1989
- M.S. Columbia University 1986
- A.B. Vassar College 1984
- Machine Learning applications
- Systematic data error and its effects on inductive learning
- Cost-sensitive learning
- Evaluation and comparison of learning algorithms
- Theory revision
Andrea received her PhD from Columbia University in 1992. Her graduate work focused the integration of deductive (i.e., theory-based) and inductive machine learning algorithms.
Before coming to Williams, she worked as a researcher at NYNEX Science and Technology. (NYNEX, the New York and New England telephone company, is now a part of Verizon.) There she worked in the Expert Systems Lab, concentrating on the use of machine learning techniques for improving expert systems for the diagnosis of telecommunications networks.
Andrea’s current research focuses on machine learning applications and issues related to those applications. She has taught introductory computer science, data structures, theory of computation, as well as AI (both introductory and elective), machine learning, and cognitive science.