ripples Frithjof Lutscher

Students and Postdocs


OttawaU



Current
Olga Vasilieva (PDF) since 2011
Mathematical models for Chronic Wasting Disease

Yasmine Samia (PhD) since 2011

Jeff Musgrave (PhD) since 2009
Spread and Control of invasive forest insects

Former
Gabriel Andreguetto Maciel (ELAP) 2011
Interface behavior and population dynamics

Andrée-Ann Pugin (U'grad honors) 2011
Evolution of dispersal in rivers

Olga Vasilieva (PhD) 2006-2011
Modeling and Analysis of Population Dynamics in Advective Environments

Mo'Tassem Al-Arydah (PDF) 2010/11, co-supervised with R. Smith?
Mathematical models for Chronic Wasting Disease

Yasmine Samia (MSc) 2009/2010
Stochastic models for river ecosystems

Tzvia Iljon, (UROP) Fall 2010
When can competitors be facilitators?

Tzvia Iljon, Summer 2010
Competition, facilitation and the Allee effect

Justine GunOg Seo (PDF) 2008-2010
Spatiotemporal variability in river ecosystems

Hsin-Hua Wei (MSc)  2007-2010
Population dynamics of central place foragers

Yasmine Samia (WISET USRA) Summer 2009
Tumor control probability and mutations

Curtis McCloskey (NSERC USRA) Summer 2009
Competition, facilitation and the Allee effect

Tzvia Iljon, Summer 2009
Competition, facilitation and the Allee effect

Yasmine Samia (WISET USRA) Summer 2008
Invasion of competitors in fragmented habitats

Adrian Maler, Summer 2008
Branching processes, cell cycle times, and tumour control probability
 
Sebastian Dewhirst (NSERC USRA) Summer 2007
Spreading Speeds in Fragmented Habitats

Marc Kelly (UOttawa, Co-op program) Winter 2006
Numerical Simulation of Nutrient Uptake Models in Rivers

Amy Hurford (MSc, jointly with MA Lewis) 2004/05
Modeling Wolf Movement

Raluca Eftimie (PhD, U of Alberta, jointly supervised with MA Lewis and G deVries) 2003-2007
Modeling animal group formation

Opportunities
If you are interested in working with me as a summer student, Masters or PhD student, please contact me directly via email:
flutsche (at) uottawa (dot) ca.

I can offer projects in the area of dynamical systems applied to biological systems. The work will use some of
  1. Mathematical modeling in life sciences
  2. Ordinary, partial, or integro-differential equations
  3. Difference and Integrodifference equations
  4. Analytical and numerical methods
As important as a solid mathematical background (Linear Algebra, Multivariable Calculus, Analysis, basic ODE/PDE, basic experience with a MATLAB, MAPLE, or similar), is that you are interested and willing to learn new techniques and some biological background. 

Typical graduate courses to take are: ODE/PDE, Real Analysis I/II, topics in differential equations, topics in applied mathematics, numerical analysis.




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