Computational Biology and Biomedical Informatics (CBB) is a rapidly developing interdisciplinary field that requires an understanding of computational and informatics methods applied to a specific domain (e.g., health or biological systems). It represents a data science perspective applied to the biomedical domain.

Our program has research foci at the interface of informatics and biomedicine, genomics, and computational modeling of biological systems. In particular, the systematic acquisition of data made possible by genomics, proteomics, electronic health records, biosensors, and imaging technologies has created a tremendous gap between available data and their biomedical interpretation. Given the rate of data generation, it is recognized that this gap will not be closed with direct experimentation. Computational and statistical approaches to understanding biological and biomedical systems also provide an essential vehicle to help close the gap. These activities include modeling biomedical and biophysical processes, large-scale database development, data mining, machine learning, and high-performance computing.

Yale has an interdepartmental CBB Ph.D. program. The advantage of such a program is that CBB students complete the CBB curriculum while being able to perform dissertation research in the laboratory of a faculty member in any relevant department at Yale; students do not have to satisfy the Ph.D. requirements of their research adviser’s department.

We welcome your interest in Yale’s CBB program.