Pierre Baldi @ UniParthenope, Napoli, September 26th and 27th 2006
“BIOINFORMATICS AND MACHINE LEARNING”
26-27 Settembre 2006 - Università Parthenope of Naples
Aula Didattica 1, Via Acton 38
An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding more than ever. Biotechnology, pharmacology, and medicine will be particularly affected by the new results and the increased understanding of life at the molecular level. Bioinformatics is the development and application of computer methods for analysis, interpretation, and prediction, as well as for the design of experiments. It has emerged as a strategic frontier between biology and computer science.
Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas where there is a lot of data but little theory--and this is exactly the situation in molecular biology. As with its predecessor, statistical model fitting, the goal in machine learning is to extract useful information from a body of data by building good probabilistic models. The particular twist behind machine learning, however, is to automate the process as much as possible.
10:00-11:30: Introduction to Bioinformatics and Machine Learning
12:00- 13:30 Foundations of Machine Learning
15:00-16:30 Applications to Sequence Analysis
10:00-13:00 Applications to Protein Structures
14:00-17:00 Applications to Chemoinformatics and Drug Design
Pierre Baldi, Professor, PH. D.
School of Information and Computer Science and Department of Biological Chemistry at the University of California, Irvine; Director of the Institute for Genomics and Bioinformatics.
Pierre Baldi is Professor at the School of Information and Computer Science and the Department of Biological Chemistry at the University of California, Irvine and the Director of the Institute for Genomics and Bioinformatics. Born and raised in Europe, he received his PhD from the California Institute of Technology in 1986. From 1986 to 1988 he was a postdoctoral fellow at the University of California, San Diego. From 1988 to 1995 he held faculty and member of the technical staff positions at the California Institute of Technology and at the Jet Propulsion Laboratory. He was CEO of a startup company from 1995 to 1999 and joined UCI in 1999. He is the recipient of a 1993 Lew Allen Award at JPL and a Laurel Wilkening Faculty Innovation Award at UCI. Dr. Baldi has written over 100 research articles and four books:
(1) Modeling the Internet and the Web--Probabilistic Methods and Algorithms, Wiley, (2003);
(2) DNA Microarrays and Gene Regulation--From Experiments to Data Analysis and Modeling, Cambridge University Press, (2002);
(3) The Shattered Self--The End of Evolution, MIT Press, (2001);
(4) Bioinformatics: the Machine Learning Approach, MIT Press, Second Edition (2001).
His research focuses in various areas at the intersection of computational and life sciences, in particular the application of AI/statistical/machine learning methods to problems in bio and chemical informatics. The work of his group has resulted in several databases, software, and web servers that are widely used (www.igb.uci.edu/servers/servers.html). His main contributions include the development of Hidden Markov Models (HMMPro) for sequence analysis, recursive neural networks for de novo protein structure prediction (SCRATCH), Bayesian statistical methods for DNA microarray analysis (Cyber-T), informatics infrastructure for systems biology (SIGMOID) and, more recently, databases and tools in chemical informatics (ChemDB) for the prediction of molecular properties and applications in chemical synthesis, discovery, and drug design.