Computational & Systems Immunology

Graduate Degree Program Track


The past decade has seen an explosion in the availability of high-throughput datasets spanning information on everything from DNA sequences to RNA transcript abundances, single-cell protein profiles, protein variants and metabolite profiles. These multi-dimensional omics datasets are complex to integrate, visualize and analyze for those not well versed in systems biology and bioinformatics. A new generation of scientists is needed to take advantage of these resources to ask and answer novel important questions in immunology.  The CSI program will generate a class of hybrid scientists to identify important problems in immunology and to devise appropriate integrated computational/experimental plans for tackling them.

Students in the CSI track will be able to:

1. develop new computational tools that use multiple large-scale publicly available omics datasets to enhance the knowledge of immunology and immunobiology;

2. integrate of new computational omics analysis techniques into existing, well-established genomic data analysis pipelines/frameworks to better understand immunology and enable researchers/clinicians to rapidly leverage omics advancements;

3. develop new and innovative multi-omic simulation and / or visualization methods that make systems immunology accessible to research scientists with no programming experience, thus bridging the gap between computational data mining and human knowledge to extend insight.
 

More information will become available shortly!
 

Contact: Purvesh Khatri, Ph.D.
pkhatri@stanford.edu