This presentation will provide a broad overview of the application of machine learning methods to bioinformatics problems, and in particular to the problem of predicting the structure of proteins from their primary sequences.
Bio:
Pierre Baldi is a Professor in the Departments of Information and Computer Science and Biological Chemistry at the University of California, Irivne and the Director of the Institute for Genomics and Bioinformatics at UCI. He received his PhD from Caltech in 1986. His research interests are in the areas of computational biology, bioinformatics, machine learning, data mining, probabilistic modeling, and communication networks. He is the author of over 100 scientific articles and several books, including Bioinformatics: the Machine Learning Approach (MIT Press, Second Edition 2001), The Shattered-Self--the End of Natural Evolution (MIT Press, 2001), and DNA Microarrays and Gene Regulation (Cambridge University Press, 2002, in press).
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