Jinbo Xu
Location: (Chicago, IL)
Personal Research Web Page: http://ttic.uchicago.edu/~jinbo
Keywords: bioinformatics, computational biology, genomics, next-generation sequencing, protein sequence and structure analysis, network biology, protein interaction, machine learning, optimization algorithms, graph algorithms
Posted on: Thursday, May 5th, 2011
Broad Research Area: AI / Machine Learning / Robotics / Vision, Databases / Information Retrieval / Data Mining, Numerical/Scientific Computing / HPC / Data-Intensive Scalable Computing, Scientific/Medical Informatics, Theory / Algorithms
Research Interests:
Professor Xu’s research interest lies in the development of machine learning models and optimization algorithms for the problems in the field of Computational Biology and Bioinformatics. He is currently working on the following topics: protein sequence/structure alignment, homology detection, protein structure prediction, protein side-chain packing, protein-protein interaction prediction, and biological network analysis. Professor Xu has developed a popular protein structure prediction program RAPTOR, which performed very well in several CASP (Critical Assessment of Structure Prediction) events. His tree-decomposition algorithm for protein side-chain packing now is a major technique underlying the new version of SCWRL, the most widely-used side-chain packing program.
