The Program for Mathematical Genomics (PMG) is a cross campus interdisciplinary effort that brings together evolutionary biologists, computer scientists, physicists and mathematicians, to uncover the structure of genomic data and to study the maps that link genotype to phenotype. It constitutes a space for the free exchange of ideas and methods of quantitative minded scientists with a goal to provide a quantitative understanding of biological systems.
Genomic approaches are changing our understanding of many biological processes, including many diseases, such as cancer, Alzheimer’s and Parkinson’s. PMG serves as a research hub at Columbia University where computer scientists, mathematicians, evolutionary biologists and physicists are coming together to uncover new quantitative techniques to extract meaningful information from large-scale biological systems.
Collaboration is Key
Built upon collaborative research opportunities to explore and develop mathematical techniques for biomedical research, PMG is leading the way to a deeper understanding of areas such as disease evolution, drug resistance and innovative therapies. Our faculty members include game changers in a wide range of disciplines: statistics, engineering, computer science, pathology, and more.