Lynn Andrea Stein, Ph.D
Professor of Computer Science and Engineering

781-292-2525
lynn.stein@olin.edu
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Dr. Stein joined Olin College from MIT, where she was an Associate Professor of Computer Science. She has a bachelor's degree, cum laude, in computer science from Harvard and Radcliffe Colleges and master's and doctorate degrees in computer science from Brown University.

Dr. Stein has pioneered the development of a new and innovative approach to the teaching of computer science. Computer scientists have typically viewed computation as the step-by-step process of producing a result. Modern computational systems (such as the World Wide Web) require an alternative conceptualization of computation in terms of interactive architectures. Interactive architectures can be used to better model not only the Web, but also other complex systems such as those in robotics, information management, and software design. Dr. Stein has developed innovative robotics laboratories for students to learn and demonstrate the power of her new approach.

In robotics, her research has focused on designing, building, and understanding the architectures that underlie cognition in biological and artificial systems. The robotic systems her research group has built involve bridging the gap between the low-level behavior traditionally associated with robotics and higher levels of cognition that more closely approximate thinking.

Dr. Stein has won numerous awards and honors, including the General Electric Foundation Faculty for the Future Award and the National Science Foundation Young Investigator Award. She was named Institute Fellow, KISS Institute for Practical Robotics, and received the Ruth and Joel Spira Teaching Award. She has also served as a Mary Ingraham Bunting Fellow.

Dr. Stein has served as the invited keynote speaker at numerous international conferences on innovation in computer science and computer engineering education. She has numerous refereed journal publications, and next year is publishing a book, Introduction to Interactive Programming, which presents in detail her innovative computational metaphor and cognitive architectures.
 
 
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