The Faculty and their Research
Research Areas -- Quantitative Methods
Core EEBB faculty
Christoph C. Adami
Evolution of Behavior and Intelligence.
James R. Bence
Quantitative fishery ecology.
Behavioral and evolutionary ecology; mechanisms of speciation.
C. Titus Brown
Genomics, evolution and development.
Jeffrey K. Conner
Evolutionary ecology, ecological genetics.
Statistical genetics, bioinformatics, longitudinal data analysis.
Ian M. Dworkin
Genetic basis of phenotypic variation and evolution.
Science education; plant ecology.
Bryan K. Epperson
Population genetics and molecular and forest genetics.
Andrew O. Finley
Methodology for monitoring and modeling environmental processes; Bayesian statistics; spatial statistics; and statistical computing.
Behavioral ecology of vertebrates.
Genetic algorithms and evolutionary computation.
Statistical Genetics, Microarray Analysis, Ecological Models, Biological Networks, Stochastic Differential Equations.
Theoretical and aquatic ecology.
Richard E. Lenski
Experimental evolution with microbes and digital organisms.
Jianguo (Jack) Liu
Systems modeling and simulation; biodiversity and ecosystem management.
Brian A. Maurer
Macroecology, biogeography, quantitative population and community ecology.
Philip K. McKinley
Distributed computing; digital evolution; ecosystem monitoring.
Spatial models, environment, applied climate change.
Gary G. Mittelbach
Community ecology and aquatics.
Cheryl A. Murphy
Charles A. Ofria
Evolution of biocomplexity, computational evolving systems.
Population & community ecology, ecological & ecosystem modeling, aquatic ecology.
Robert T. Pennock
Philosophy of biology; evolutionary computation; history & philosophy of science; science & values.
Evolution of Genomes.
Julius H. Jackson
Microbial physiology & genetics; bacterial gene & genome evolution.
David W. MacFarlane
Forest measurements and modeling.
William F. Porter