Quantitative Skills Group

We are a diverse group of Biology faculty who use quantitative skills in our everyday research, and are interested in developing these skills for undergraduate, graduate and postgraduate training. 

Shelley Arnott PROFILE 
? Environmental impacts on aquatic communities and ecosystems 
?Analysis of variance—multifactor repeated measures ANOVA on experimental data; Ordination—principal component analysis of zooplankton community data, redundancy analysis to relate environmental gradients to zooplankton community data.
Software: Statistica, JMP, Canoco, R

Adam Chippindale PROFILE 
?Evolutionary genetics and organismal biology
?Analysis of variance, quantitative genetics of life histories, heritability, generalized linear models
Software: JMP



Brian Cumming PROFILE 
?Aquatic ecology and paleolimnology
?regression (GLM); multivariate techniques to assess and reconstruct environmental change from community data (e.g., regression and calibration (WA, ML, PLS, Neural Networks); unconstrained (e.g., PCA, CA, DCA, NMDS), constrained, and partial ordination techniques (e.g., RDA, CCA, variance partitioning); multivariate assessment of difference between groups (e.g., ANOSIM, SIMPER); clustering techniques
Software: CANOCO, Primer, R


Troy Day PROFILE (Math & Stats. Cross-appointed to Biology)
? Theoretical evolutionary ecology
?Mathematical modeling—evolutionary ecology, infectious disease evolution, kin selection, sexual selection, epigenetic inheritance, inter- and intra-specific interactions.
Software: Mathematica



George diCenzo PROFILE 
- Prokaryotic gene function, metabolism, and genome evolution
- Constraint-based metabolic modelling (flux balance analysis), phylogenetics, statistics
Software: Matlab, R



Chris Eckert PROFILE 
?Plant evolution and population genetics
?Experimental design; linear models: including mixed models, repeated-measures models, analysis of covariance, multiple regression; multivariate analysis of morphological and environmental data; resampling and randomization methods; computer simulation; spatial analysis of geographic variation; quantitative-genetic analyses; estimating mating systems using likelihood-based analysis of molecular progeny array data.
Software: JMP, R, Arlequin, MLTR, pascal


Jannice Friedman PROFILE
Plant evolution
and ecological genetics
?Quantitative and population genetics
?Experimental design, generalized linear models, quantitative genetics and QTL mapping
Software: R, SAS


Vicki Friesen PROFILE
?Molecular ecology and phylogenetics
?coalescent theory, molecular assignments
Software: Arlequin, BayesAss, Bottleneck, Fluctuate, GeoDis, Mega, Migrate, 2MOD, Populations, Structure, TCS



Stephen Lougheed PROFILE
?Speciation and diversification of vertebrates
?Phylogenetics—Bayesian, likelihood and parsimony approaches to phylogeny inference, character mapping, constraint analyses, coalescence Generalized linear models—morphometric and sonographic analyses. univariate and multivariate analyses of spatial genetic structure—Bayesian assignment methods
Software: MrBayes, PAUP*, Mesquite, Structure, BEAST, JMP

Paul Martin PROFILE
?Origins and maintenance of diversity
?Generalized linear models, mixed models - analysis of geographic variation in richness, rates of trait evolution, neutral genetic divergence, species accumulation curves, spatial overlap in distributions, behavioural experiments (song playback, mate choice), quantifying natural history, habitat use; moving into Information Theoretic approach 
Software:S+/R, SPSS, Syrinx, GIS, MEGA


Bob Montgomerie WEBSITE
?Sexual selection
?Analysis of animal and plant colours, paternity, and bird song. Univariate and multivariate statisitics, resampling, exploratory data analysis, data management. Information Theoretic approaches, Generalized Linear Models, data vizualization. 
Software: JMP, R, DataGraph, Raven, Veusz

William Nelson PROFILE 
?Evolutionary ecology of aquatic systems
?Statistical population models—generalized additive time-series models (splines) fit to multinomial count data, nonlinear population models, resampling methods; Mathematical modeling—stage-structured population models.
Software: R, Matlab, C


Peter Taylor PROFILE (Math & Stats. Cross-appointed to Biology and Education)
?Theoretical evolutionary ecology
?Mathematical modeling—evolutionary ecology, evolutionary game theory, inclusive fitness, structured populations.
Software: Maple

I've spent more time than many will believe [making microscopic observations], but I've done them with joy, and I've taken no notice those who have said why take so much trouble and what good is it?

Antonie van Leeuwenhoek

It's a parts list... If I gave you the parts list for the Boeing 777 and it had 100,000 parts, I don't think you could screw it together and you certainly wouldn't understand why it flew

Eric Lander

What is true for E. coli is also true for the elephant

Jacques Monod

The world becomes full of organisms that have what it takes to become ancestors. That, in a sentence, is Darwinism

Richard Dawkins

Shall we conjecture that one and the same kind of living filaments is and has been the cause of all organic life?

Erasmus Darwin

Nature proceeds little by little from things lifeless to animal life in such a way that it's impossible to determine the line of demarcation


Cells let us walk, talk, think, make love, and realize the bath water is cold

Lorraine Lee Cudmore

In the distant future I see open fields for far more important researches. Psychology will be based on a new foundation, that of the necessary acquirement of each mental power and capacity by gradation. Light will be thrown on the origin of man and his history

Charles Darwin

It is my belief that the basic knowledge that we're providing to the world will have a profound impact on the human condition and the treatments for disease and our view of our place on the biological continuum

J. Craig Venter

Imagine a house coming together spontaneously from all the information contained in the bricks: that is how animal bodies are made

Neil Shubin

A grain in the balance will determine which individual shall live and which shall die - which variety or species shall increase in number, and which shall decrease, or finally become extinct

Charles Darwin

The stuff of life turned out to be not a quivering, glowing, wondrous gel but a contraption of tiny jigs, springs, hinges, rods, sheets, magnets, zippers, and trapdoors, assembled by a data tape whose information is copied, downloaded and scanned

Steven Pinker

We wish to discuss a structure for the salt of deoxyribose nucleic acid. (D.N.A.). This structure has novel features which are of considerable biologic interest

Rosalind Franklin

We are biology. We are reminded of this at the beginning and the end, at birth and at death. In between we do what we can to forget

Mary Roach

The systems approach to biology will be the dominant theme in medicine

Leroy Hood

I've always been interested in animal behavior, and I keep reading about it because it's so surprising all the time - so many things are happening around us that we neglect to look at. Part of the passion I have for biology is based on this wonderment"

Isabella Rossellini

Because all of biology is connected, one can often make a breakthrough with an organism that exaggerates a particular phenomenon, and later explore the generality

Thomas Cech

Nothing in Biology makes sense except in the light of evolution

Theodosius Dobzhansky

Biology is now bigger than physics, as measured by the size of budgets, by the size of the workforce, or by the output of major discoveries; and biology is likely to remain the biggest part of science through the twenty-first century

- Freeman Dyson

Nothing can be more incorrect than the assumption one sometimes meets with, that physics has one method, chemistry another, and biology a third

- Thomas Huxley