Computational & Integrative Biology


BMS Faculty in Computational and Integrative Biology


Training Area Leaders: Bing Ren & Gene Yeo

The Computational and Integrative Biology Training Area is a unique joint effort between several departments at UC San Diego: the Departments of Cellular & Molecular Medicine, Pediatrics, Medicine, Psychiatry and Pathology in the School of Medicine, and Computational Science and Engineering and Bioengineering on the UC San Diego main campus.

The overall goal of this training area is to provide students with a deep understanding of the development and application of computational, integrative modeling and engineering approaches to solving basic and translational problems in biology and medicine.

Computational and Integrative biology faculty associated with the training area research a broad range of topics, from large-scale studies of genetics, genomics, microbiome and epigenomics using cutting-edge biochemical and molecular technologies, coupled with advanced computational methods such as machine learning and network analyses. Faculty focus on these areas of biological inquiry: gene regulation, stem cell biology, cancer, malaria and genetic diseases. Engineering and material sciences approaches also tackle emerging opportunities in single cell genomics and biology.

The training area is tightly integrated with several training programs on campus, including Genetics, Bioinformatics and Systems Biology, Cancer Biology, and Quantitative Biology. Grants support funded students with specialized training opportunity and an intellectually coherent framework with opportunities for interacting with colleagues in the chosen research area.


First Year Required Core Courses


Elective Courses (to fulfill 15 unit BMS elective requirement)

Genetics Journal Club (1 unit)

Students meet weekly to read and critically analyze recent papers in the field.