Research Interests
Training-related neuroplasticity
Electrophysiological bases of motor control
Cerebellar function, structure, and connectivity
White matter connectional architecture
Quantitative assessment of white matter disconnection (stroke, AD)
Quantitative and physiologically-specific MRI
Functional dynamics of the brain
Image segmentation and registration
Research Methods
Systems-level cognitive neuroscience
Image processing development (Python)
Functional and structural MRI
Diffusion Weighted Imaging (DWI)
Multimodal imaging and image analysis
Longitudinal training designs
CHEM 217 Introductory Analytical Chemistry I (3 credits)
Prerequisites: CHEM 205, 206; PHYS 204, 206, 224, 226; MATH 203, 205; or equivalents for all prerequisite courses
Precipitation methods and solubility products; activity, chemical equilibria and titration curves of neutralization and complexation systems; treatment of analytical data.
Lectures and laboratory.
CHEM 218 Introductory Analytical Chemistry II (3 credits)
Prerequisite: CHEM 217.
Chemical equilibria and titration curves of oxidation-reduction, precipitation, and non-aqueous systems; potentiometry and potentiometric titrations; introduction to spectroscopy with emphasis on molecular and atomic absorption spectroscopy, fluorescence spectroscopy.
Lectures and laboratory.
CHEM 234 Physical Chemistry I: Thermodynamics (3 credits)
Prerequisites: CHEM 205, 206; PHYS 204, 206, 224, 226; MATH 203, 205; or equivalents for all prerequisite courses.
The properties of ideal and real gases; first, second and third laws of thermodynamics; the phase rule; one‐ and two‐component systems; real solutions, and partial properties, chemical equilibrium.
Lectures and tutorials.
SFYX 201/202 Integrated Science Seminar (3/3 credits)
Prerequisites: None
This seminar provides an integrated view of what is covered in the BIOL, CHEM, MATH and PHYS courses and disciplines. An inquiry project-based approach is at the centre of this course and includes aspects of all of the discipline-specific courses in order to foster an interdisciplinary perspective. A focus will be on the development of academic (e.g., writing/research) and personal (e.g., collaborative/communication) skills relevant to scientific disciplines.
Projects, presentations, field project (at an abandoned copper mine), guest lectures.
CHEM 298 Air, Water and Soil Processes (3 credits)
Prerequisites: CHEM212 or CHEM217
Introductory Environmental Chemistry with focus on atmospheric chemistry (air quality), water and soil chemistry. Includes an optional visit to a Montreal pollution monitoring station.
Lectures, student presentations.
CHEM 610/498 Advanced Data Analysis (3 credits)
Prerequisites: CHEM312
An introduction to statistical programming using R and application to chemical data sets. Exploratory data analysis and plotting. Statistical methods discussed include linear regression, ANOVA, multivariate data analysis methods (e.g., PCA, PCR, PLS, decision trees, ANN). Introduction to Experimental Design.
In collaboration with Dr. D. Vuckovic and Dr. C. Skinner.
Lectures, projects, presentations.
