Dennis Kibler’s professional activities have included being a scientific advisor for Oncotch, CEP and UCEP member, and reviewer for Bioinformatics, Machine Learning, KDD and IEEE.
His research focuses on the use of artificial intelligence and machine learning in understanding gene regulation and gene function. The goal is to develop programs that can use available data to help determine biological significant substructures in genomes. In cooperation with other researchers, his work currently centers on parsing and understanding the non-coding regions of the genome.
Ph.D., UC Irvine, 1979
AI, ML and Natural Language Processing
Producing machines to automate tasks requiring intelligent behavior...
Biomedical Informatics and Computational Biology
Techniques from applied mathematics, informatics, statistics and computer science to solve biological problems...