Rosenberg lab at Stanford University


About the lab

Research. Research in the lab focuses on mathematical, statistical, and computational problems in evolutionary biology and genetics. Long-term interests of the lab include topics such as:

  • Mathematical models of gene genealogies
  • Mathematical models for human population genetics
  • Theoretical population genetics
  • Statistical analysis of population-genetic data
  • Mathematical properties of population-genetic statistics
  • Combinatorics of evolutionary trees
  • Human genetic variation
  • Inference of human evolutionary history from genetic markers
  • The relationship between gene trees and species trees
  • Human evolutionary genetics in the search for genes that contribute to disease

We are interested in mathematical problems relevant for understanding evolutionary processes; in development and application of statistical methods for inference from genetic data; in the biological applications of our theoretical and methodological work; and in contributions to mathematics that develop from consideration of problems from genetics and evolutionary biology; Projects from the lab have examined data from a variety of different species. Read more about research in the lab...

Members. Graduate student and postdoctoral members of the lab have received their previous academic training in a variety of fields, including anthropological genetics, biochemistry, bioinformatics, biological anthropology, biology, chemistry, computer science, ecology & evolution, genetics, human biology, human genetics, mathematics, molecular & cellular biology, physics, psychology, statistics, and systems science & engineering. Past experience in both a mathematical field and a biological field is common. Lab alumni now hold faculty positions at Aarhus University, Duke University, Florida Atlantic University, Hebrew University of Jerusalem, Holon Institute of Technology, Huazhong University of Science and Technology, Instituto Tecnológico Autónomo de México, Natural History Museum of Paris, Pennsylvania State University, Singapore Polytechnic, Tufts University, University of Idaho, University of New Mexico, University of Pisa, University of Southern California (1), University of Southern California (2), Uppsala University, and University of Texas M. D. Anderson Cancer Center, and industry positions in bioinformatics, computational biology, data science, and software.
      Lab members contribute to a warm and interactive intellectual atmosphere with a strong commitment to rigor and training in mathematical, statistical, and computational approaches to biology. Members enter the group with a high degree of independence, motivation, and training; undergraduates and early-stage graduate students are often paired with senior members for the initial stages of their work in the lab. Typical research profiles for graduate students and postdocs include mathematical theory, development of statistical methods, and data analysis, and may include both individual and team-oriented projects. Lab members often have considerable autonomy in working to devise their project portfolios.
      As part of their experience in the lab, members of the lab strive to promote interconnectedness among academic disciplines, clear and concise scientific writing, informative presentation of scientific results, rigor and thoroughness in scientific work, support and mentorship for junior members, and openness in disseminating the products of their research. We seek to bring in new members who share our research interests and our scientific values. Read more about joining the lab...

Environment. Stanford has a rich community of researchers with interests related to those of the lab. Our location is a short distance from the main quad, the math, statistics, and computer science departments, the Li and Ma Science Library, the Clark Center and Bio-X, Stanford University Medical Center, the Cantor Arts Center, and Bytes Cafe. Read more about the lab environment...