Mathematical & Computational Biology

What we do:

By modeling the biological world, we formalize verbal theories, generate testable hypotheses, and develop methods of data analysis.

Within OEB, we are focussed primarily on evolutionary and ecological modeling.

Current areas of research include:

  • Computational modeling of changes in land use and global climate on the species composition of biological communities
  • Mathematical approaches to the evolution of cooperation
  • Stochastic theory of gene genealogies
  • Biomechanics of plant development.



OEB Faculty with work in Mathematical and Computational Biology:

Benjamin L. de Bivort
Michael M. Desai
Scott V. Edwards
Gonzalo Giribet
David A. Haig
Daniel L. Hartl
L. Mahadevan (joint appointment: SEAS)
Paul R. Moorcroft
Martin A. Nowak (joint appointment: Mathematics),
Pardis Sabeti
Mansi Srivastava
John Wakeley

Faculty in other Departments:

Howard Berg (MCB)
Michael Brenner (Applied Mathematics)
George Church (HMS)
Jun Liu (Statistics)
Markus Meister (MCB)
David Nelson (Physics)
David Reich (HMS)
Clifford Taubes (Mathematics)


Selected courses in Mathematical and Computational Biology:

Population Genetics (OEB 152)
Coalescent Theory (OEB 252)
Seminar in Evolutionary Genetics (OEB 253r)
Systematics (OEB 181)
Mathematical Biology – Evolutionary Dynamics (Mathematics 153)
Evolutionary Dynamics (Mathematics 234)
Mathematics in Biology (MCB 111)
Computational Neuroscience (MCB 131)
Introduction to Biophysics (MCB 140)
Statistical Thermodynamics and Quantitative Biology (MCB 199)
Introduction to Computational Biology and Bioinformatics (Statistics 115)
Genomics, Computing, and Economics (Biophysics 101)
A Systems Approach to Biology (Systems Biology 200)
Mathematical Modeling (Applied Mathematics 115)