Krishna Roskin
Computational Immunology, Bioinformatics, Data Analysis
About Me
I am a computational immunologist specializing in B and T cell repertoire analysis. I apply the skills and computational insights gained from full genome comparative analyses to this area currently deluged with new and exciting data.
I am currently a postdoctoral researcher in the laboratory of Scott Boyd at Stanford University in the Department of Pathology. My training is in computer science and mathematics.
Current Work
The depth and breadth of data now available to immunologists has greatly increased in recent years. Massively parallel sequencing is being applied to immune receptors to better understand the range of human immune responses. I am particularly interested in how the human immune system can respond inappropriately or fail to respond, i.e. immunodeficiency and autoimmunity.
Previous Work
In the wake of the sequencing of the human genome, I began working with David Haussler analyzing data from the Mouse and Rat Genome Sequencing Consortia. Our focus was on using the mouse genome to identify regions of the human genome that are evolutionally conserved. My work led to major original results on the share of the human genome under purifying selection and variations in genomic divergence across the genome.
