
THE
FIELDS INSTITUTE
FOR RESEARCH IN MATHEMATICAL SCIENCES 
June
7, 2012
Guelph Biomathematics and Biostatistics Symposium
Frontiers in Networks: Models and Applications
Organizers
Chris
Bauch, University of Guelph(CoChair,
Mathematics)
Julie Horrocks, University of Guelph
(CoChair, Statistics)



Overview
The principal objective of the symposium is to facilitate
collaborations between mathematicians, statisticians and bioscience
researchers. This year the theme is on networks and is keynoted
by two invited lectures, including the Gordon C. Ashton Memorial
Biometrics Lecture. The symposium will have sessions for contributed
talks and a poster session for graduate and undergraduate
students, with a prize of $200 awarded for the best
poster. This year’s symposium is intends to provide exposure
to various mathematical and statistical techniques used to
model and analyze networks. Participation by women and aboriginal
groups will be encouraged in the advertising and via direct
recruitment.
The maximum size for the posters will be 46 inches high
and 56 inches across.
Executive Summary
Networks conceptualize the complex web of relations between
agents, whether those agents be genes, organs, individuals,
or groups. Research on network science originated with graph
theory in the 18th century (in particular, Euler’s famous
problem on the seven bridges of Koenigsberg) but is now growing
at a phenomenal pace. This growth has been fuelled by greater
availability of data on how realworld networks are structured.
It is increasingly recognized that the network paradigm can
contribute fundamentally to fields as diverse as genetics,
ecology, sociology, and public health. Network science provides
abundant oppor tunities for research in the mathematical
and statistical sciences. The quantitative analysis of network
structure and dynamics is both nontrivial and rewarding, and
the field continues to evolve. By characterizing network structure
and dynamics using quantitative approaches, commonalities
can also be established between apparently disparate fields.
The focus of the proposed symposium will be the methodology
and applications of network science, from both mathematical
and statistical perspectives. Keynote speakers from the University
of Chicago (Stefano Allesino) and Boston University (Eric
Kolaczyk) will describe recent advances in food web theory
and statistical analysis of biological networks, respectively.
Regional speak ers will address other topics at the intersection
of network analysis, simulation, and applications.
Program
June 7, 2012 

Session 1:
Gordon C. Ashton Memorial Lecture (1st keynote speaker) 
9:0010:00 
Eric Kolaczyk,
Department of Mathematics & Statistics, Boston University
Networkbased Statistical
Models and Methods for Identification of Cellular Mechanisms
of Action 
10:0010:30 
Coffee and Pastries/Student
Poster Session 

Session 2: Invited Session 
10:3011:00 
Ali Shojaie,
Department of Statistics, University of Washington
Network enrichment
analysis: a framework for analysis of biological pathways
in complex experiments 
11:0011:30 
Kevin McCann, Department
of Integrative Biology, University of Guelph
The Stability of Ecological
Networks: From Motifs to Whole Ecosystems 
11:301:00 
Lunch Break/Student Poster Session 

Session 3: 2nd
keynote speaker 
1:002:00 
Stefano Allesina,
Department of Ecology and Evolution, University of Chicago
Interaction Type
and the Stability of Large Ecological Networks 
2:002:15 
Refreshments and Student Poster Session


Session 4:Invited Session 
2:152:45 
Shoja Chenouri, Department
of Statistics and Actuarial Sciences, University of Waterloo
A stochastic graph
process for epidemic modelling 
2:453:15 
Philip Kim, Department
of Molecular Genetics and Department of Computer Science,
University of Toronto
Structure, Unstructure
and Systems Biology 
3:153:30 
Refreshments 

Session 5:Invited Session 
3:304:00 
Shreyas Sundaram,
Department of Electrical and Computer Engineering, University
of Waterloo
Robustness of Complex
Networks: Reaching Consensus Despite Adversaries 
4:004:30 
Elisabeth Shiller, Department
of Mathematics and Statistics, University of Guelph
Using evolution to
locate contact networks for epidemics 
4:30 
Student Awards 
Directions to Guelph
The symposium will be held in Room 1800 of the OVC
Pathobiology Animal Health Lab (PAHL), Gordon St at McGilvray.
This is building 89 on the **Campus
Map**, Grid F6. (Note that there is an older pathobiology
building on College, so please take care!).
Parking Directions and Costs
The best place to park is Visitor’s Parking Lot P44.
The entrance to the parking lot is from College Avenue, on
the other side of Gordon. See the **Campus
Map**. It is a short walk to the Pathobiology Building
– please cross at Gordon and College as there are lights.
The most economical option is to pay by VISA or MasterCard
for the whole day ($10.00). If paying by cash, the cost is
$16.00 per day or $2.00 per hour.



and



Registered Participants as of
May 30, 2012
Full Name 
University Name 
Alcaraz, David 
Wilfrid Laurier University 
Ali, Ayesha 
University of Guelph 
Allesina, Stefano 
University of Chicago 
Althubyani, Mohammed 
College of Physical and Engineering Science, University
of Guelph 
Ashlock, Daniel 
University of Guelph 
Bartley, Timothy 
University of Guelph 
Bauch, Chris 
University of Guelph 
Bifolchi, Nadia 
University of Guelph 
Buchman, Ethan 
University of Guelph 
Cai, Eric 
University of Toronto 
Callaghan, Liam 
University of Guelph 
Cameron, Christopher 
University of Guelph 
Caskenette, Amanda 
University of Guelph 
Cheam, Amay 
University of Guelph 
Chenouri, Shojaeddin 
University of Waterloo 
Cleary, Erin 
University of Guelph 
Deardon, Rob 
University of Guelph 
del Grande, Marc 
Wilfrid Laurier University 
Faqih, Mashael 
University of Guelph 
Fata, Elaheh 
University of Waterloo 
Griswold, Cortland 
University of Guelph 
Horrocks, Julie 
University of Guelph 
KeownStoneman, Charlie 
University of Guelph 
Kim, Philip 
University of Toronto 
Kolaczyk, Eric 
Boston University 
Lang, John 
University of Waterloo 
Levine, Joel 
University of Toronto at Mississauga 
Liang, Jiaxi 
University of Waterloo 
Martin, Claire 
University of Guelph 
McCann, Kevin S. 
University of Guelph 
McEachern, Andrew 
University of Guelph 
McGinn, Ryan 
University of Toronto 
Moorthy, Arun 
University of Guelph 
Moradi, Ebrahim 
University of Waterloo 
Morsky, Bryce 
University of Guelph 
Mudalige, Nishan 
York University 
Murall, Carmen Lía 
University of Guelph 
Na, Ling 
University of Maryland 
NettelAguirre, Alberto 
University of Calgary 
PalaciosDerflingher, Luz 
University of Calgary 
Parsons, Todd 
University of Toronto 
Petukhova, Tatiana 
University of Guelph 
Picka, Jeffrey 
University of New Brunswick 
Pinder, Shaun 
University of Guelph 
Poore, Keith 
University of Guelph 
Puelma Touzel, Max 
Max Planck Institute for Dynamics and Selforganization 
Rafique, Nuzhat 
University of Guelph 
Rahman, Kazi 
University of Guelph 
Ramirez Ramirez, Lilia 
Instituto Tecnologico Autonomo de Mexico 
Ringa, Notice 
University of Guelph 
Rooke, Rebecca 
University of Toronto Mississauga 
Rueffer, Matthew 
University of Guelph 
Schneider, Jon 
University of Toronto at Mississauga 
Shiller, Elisabeth 
University of Guelph 
Shojaie, Ali 
University of Washington 
Sundaram, Shreyas 
University of Waterloo 
Tully, Stephen 
University of Guelph 
Valmy, Larissa 
LAMIA 
Wells, Chad 
University of Guelph 
Wong, Monica 
University of Guelph 
Xin, Lin 
University of Waterloo 
Xin, Xin 
University of Guelph 
Yao, Xue 
University of Saskatchewan 
Zhang, Haotian 
University of Waterloo 
Zulyniak, Michael 
University of Guelph 

Back to top

