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. The work of his group has resulted in several databases, software, and web servers that are widely used (). 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. (4) Bioinformatics: the Machine Learning Approach, MIT Press, Second Edition (2001). (3) The Shattered Self-The End of Evolution, MIT Press, (2001) (2) DNA Microarrays and Gene Regulation-From Experiments to Data Analysis and Modeling, Cambridge University Press, (2002) (1) Modeling the Internet and the Web-Probabilistic Methods and Algorithms, Wiley, (2003) Baldi has written over 100 research articles and four books: He is the recipient of a 1993 Lew Allen Award at JPL and a Laurel Wilkening Faculty Innovation Award at UCI. He was CEO of a startup company from 1995 to 1999 and joined UCI in 1999. 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. From 1986 to 1988 he was a postdoctoral fellow at the University of California, San Diego. Born and raised in Europe, he received his PhD from the California Institute of Technology in 1986. 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. 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. The particular twist behind machine learning, however, is to automate the process as much as possible.ġ0:00-11:30: Introduction to Bioinformatics and Machine Learningġ2:00- 13:30 Foundations of Machine Learningġ5:00-16:30 Applications to Sequence Analysisġ0:00-13:00 Applications to Protein Structuresġ4:00-17:00 Applications to Chemoinformatics and Drug Design 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. 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. It has emerged as a strategic frontier between biology and computer science. Bioinformatics is the development and application of computer methods for analysis, interpretation, and prediction, as well as for the design of experiments. Biotechnology, pharmacology, and medicine will be particularly affected by the new results and the increased understanding of life at the molecular level. The demands and opportunities for interpreting these data are expanding more than ever. I wasn't sure about these snake tails, but it seems they fit with the rest of the model quite nice.Ģ6-27 Settembre 2006 - Università Parthenope of NaplesĪn 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 body has rotation/bending point in the middle, neck also has several points of articulation, each head can be lowered/rotated separately and has an openable jaw. I feel I should say a few words about this model: it is a nice mix of System and Technic/Bionicle/HF parts, all the joints should be sturdy enough for this weight and both front and rear legs even have working pistons. That damn inverted base plate took ages to render! Or maybe this might become a great enemy to my Dragonian faction? So, guys. And in the end I came up with another crazy idea: give it these Chima heads and make it a ChiMonster. Funny fact: I started it as a jeep! At first I was going to make it a zoid, but then I thought it'd be really nice to make it some anti-Crusader cyborg/biomachine (that's why it's built in these colors). I never had trouble with defining my builds before.

Microman biomachine