Computational and Systems Biology
Research includes:
- Systems Biology
- Bioinformatics
- Computational Biology
- Computational Chemistry
- Quantitative Biology
- Synthetic Biology
- Genomics
- Quantitative Genetics and Proteomics
Training Group Mission:
The mission of the Computational and Systems Biology (CSB) group is to train a new generation of highly skilled and interdisciplinary graduate students who are competent in multiple disciplines in biology and the quantitative sciences. The objective is that students will be able to navigate between disciplines and be highly proficient scientists operating at the interface of the life sciences and quantitative sciences.
Faculty Membership
Chemical Immunology: Cell specific chemical perturbation of immune microenvironments in cancer, neurological and immunological disorders
Lipid metabolism at a biochemical level and in vivo, in the context of metabolic disease, exercise, and responses to diet.
Our lab focuses on acquiring and utilizing high throughput sequencing data (e.g. RNA-seq, ChIP-seq, ATAC-seq) to develop new computational models and biological assays to study genome regulation and human diseases, in particular immune related disorders and cancer. We are now working on the discovery and modeling of the regulatory circuitry of the non-coding genome which is essential for maintaining normal cellular physiology.
Computational systems biology and systems pharmacology focused on within-host dynamics.
Student Membership
- Training Groups
- Prospective Faculty
- Biomolecular Structure and Biophysics
- Biotechnology
- Cancer Biology
- Chromatin and Regulation of Gene Expression
- Chemical Biology
- Computational and Systems Biology
- Integrative Neuroscience
- Membrane Biology
- Microbiology, Immunology and Infectious Diseases
- Plant Biology
