Uri Keich

Uri Keich is an Associate Professor in the School of Mathematics and Statistics at The University of Sydney. His research areas include statistical theory, computational statistics and machine learning, bioinformatics, and computational and numerical mathematics. Keich's work is reflected in the School's database of publications. His personal web page provides further details on his research and academic activities. He is based at the Carslaw Building, Room 821, and can be contacted via email at uri.keich@sydney.edu.au.

Uri Keich is a researcher at the University of Sydney with a focus on computational biology and bioinformatics. His work centers on developing and refining algorithms for motif discovery in genomic sequences, improving false discovery rate estimation in proteomics, and enhancing similarity search methods for DNA and protein sequences. He has contributed to the design of spaced seeds for sequence alignment and the analysis of bacterial promoter regions. His research also addresses challenges in tandem mass spectrum identification and the optimization of autonomously replicating sequences in yeast. Keich's publications emphasize the importance of well-calibrated scores and statistical significance in bioinformatics applications.