Genomic and Computational Approaches to Understanding Gene Expression
Chris Seidel is an experienced bench biologist who leverages his experimental background when developing approaches for big data analysis. He works closely with Stowers researchers to develop and execute strategies for bringing genomics to bear on biological problems, including experimental design, data analysis, development of novel reagents, and bioinformatics.
Seidel grew up in the San Francisco Bay area and studied biochemistry and molecular biology at the University of California, Santa Cruz. He completed graduate work at the University of California, Berkeley, studying transcription elongation in the laboratory of Caroline Kane, Ph.D.. He has worked in the biotech industry as a senior scientist and led a small team of researchers to develop the first bioinformatically optimized reagents for spotted microarray production, including an array to tackle malaria in collaboration with Joseph DeRisi, Ph.D., at the University of California, San Francisco.
After building microarray robots at the University of California, Berkeley, and Children’s Hospital of Oakland Research Institute, Seidel joined the Stowers Institute where he develops novel genomic approaches and analysis pipelines and continues to do research in genomics.