James Knight
About James Knight
James Knight is a Research Scientist and Director of Bioinformatics at Yale University, where he has worked since 2014. He has extensive experience in bioinformatics, having held positions at various institutions including CuraGen Corporation and 454 Life Sciences.
Work at Yale University
James Knight has been employed at Yale University since 2014, serving as a Research Scientist and Director of Bioinformatics. In this role, he provides bioinformatics support for investigators at Yale, utilizing the Yale Center for Genome Analysis to facilitate next-generation sequencing services. He also supports the research initiatives of the Genetics department, contributing to the advancement of genomic research through the development of bioinformatics pipelines and tools tailored for both research and clinical sequencing.
Previous Experience in Bioinformatics
Before joining Yale University, James Knight held several positions in the field of bioinformatics. He worked at CuraGen Corporation from 1996 to 2004, where he served as a Senior Research Scientist and Group Leader, and later as Director of Bioinformatics. He also worked at 454 Life Sciences from 2004 to 2014, initially as Director of Bioinformatics and subsequently as an R&D Fellow. His extensive experience in these roles has contributed to his expertise in bioinformatics and genomic analysis.
Educational Background
James Knight earned his Ph.D. in Computer Science from the University of Arizona, where he studied from 1987 to 1993. Prior to that, he completed his Bachelor of Arts in Computer Science at The University of Texas at Austin from 1983 to 1987. His educational background has provided him with a strong foundation in computational methods, which he applies in his current research and bioinformatics work.
Research Contributions
At Yale University, James Knight develops bioinformatics pipelines and tools that enhance research and clinical sequencing efforts. His work is integral to the support of genomic research projects, enabling investigators to analyze complex genetic data effectively. His contributions to the field of bioinformatics are reflected in the support he provides to various research initiatives within the Genetics department at Yale.