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.

Transformative Ideas

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.


Data Transfer

Part of our mission is to promote the innovative research at PMG and share our knowledge through symposia, conferences, lectures and courses. Take a look at a recent lecture given by Trevor Graham, PhD, of Barts Cancer Institute on "Measuring Evolutionary Dynamics of Human Tumors".