590 A - Research Seminar in Artificial Intelligence

Spring Quarter 2008

Faculty organizer: Jesse Davis

Day / Time: Wednesday 4:30-5:20
Location: Room 303, Allen Center


Theme: Biomedical Applications of AI

The theme for CSE590A will be 'Biomedical Applications of AI'. Applications from other fields often drive advances in Artificial Intelligence. Biology and medicine have served as a ready source of novel, interesting, challenging and important problems to drive innovation in AI. The advent and prevalence of high-throughput techniques, such as gene-expression microarrays, single-nucleotide polymorphism (SNP) chips and high-throughput screening of molecules for biological activity, have greatly increased the quantity of biological data available. Through a series of invited talks, this seminar will explore how researchers have used AI techniques to manage and interpret this newly available biological and medical data. The format will be informal and interactive and we expect to have fun discussions after the talks.

Mailing List

We will not use the cse590a mailing list. Instead, announcements about the seminar will go to uw-ai. If you do not already subscribe to uw-ai, then join by sending mail to uw-ai-request@cs.washington.edu, with the line "subscribe listname" in the body of the message. You are encouraged to discuss the presentations on the mailing list.


  Speaker Title
April 2 No class!  
April 9 Frank Dimaio, University of Washington, Probablistic Inference in Crystallographic Density-Map Interpretation
April 16 Aaron Klammer, University of Washington Revealing the proteome: A machine learning approach to peptide identification
April 23 Larry Ruzzo, University of Washington Computational Discovery of noncoding RNA
April 30 No class!
May 7 Bill Noble, University of Washington Consistent probabilistic outputs for protein function prediction
May 14 Jonathan Carlson, University of Washington Phylogenetic Dependency Networks for HIV vaccine design: Inferring patterns of immune escape in HIV evolution
May 21 Jim Brinkley, University of Washington Ontology Views
May 28 Linda Shapiro, University of Washington Multimedia Information Retrieval for Biomedical Applications
June 4 Ira Kalet, University of Washington Ontologically Computing the Spread of Tumor Cells