Career Opportunities

Research Interests: Consciousness, Subjectivity and Personal Identity, Mental Health and Society, Affective and Emotional Development, Psychotherapy, Mental Health, Personality, Emotional functioning

Research Interests: Telemetry (Remote Sensing, Radar), Space Techniques, Forestry Technology and Equipment, Plants and Forests

Potential project areas:

Application of remote sensing technologies to forest productivity and conservation issues

Research Interests: Banking, Climate Finance, Voluntary Disclosure, Earnings Quality, Reduced Form and Structural Estimation

Research Interests: Semantics, Austronesian languages, Cross-linguistic variation and universals, Salish languages, Semantic fieldwork, Tsimshianic languages

Research Interests: Motivations and Emotions, Anxiety, Depression, Mental Health and Society, Stress, Suicide

Research Interests: Comparative organismal biology, Evolutionary morphology, Evolutionary protistology, Marine biodiversity, Marine invertebrate zoology, Phylogenetic biology, Species discovery

Research Interests: Biological and Biochemical Mechanisms, Genetic Diseases, Calcium signaling, Cardiac arrhythmia, Electrical signaling, Electrophysiology, Epilepsy, Ion channels, Structural Biology

Potential project areas:

1) Muscle excitation-contraction coupling: How does an electrical signal in a muscle cell get transmitted into contraction? We investigate the membrane proteins involved in this process (L-type calcium channels, Ryanodine Receptors), as well as the various proteins that modulate these channels. Projects include solving crystal and cryo-EM structures of these channels in complex with the additional proteins. Functional experiments (e.g. electrophysiology) are used to test the hypotheses originating from these structures. 2) Channelopathies Ion channels are responsible for electrical signals in excitable cells. Mutations in the ion channel genes can lead to severe and often fatal disorders, including cardiac arrhythmias, epilepsy, ataxias, chronic pain and much more. We investigate the primary disease mechanisms by mapping disease mutations on the 3D structures, comparing structures of wild-type and disease mutant proteins, and functional experiments. Together these provide very detailed insights in the disease process. Current projects include congenital cardiac arrhythmias (CPVT, LongQT, Brugada Syndromes) and epilepsy (Dravet Syndrome)

Research Interests: Cystic Fibrosis, Epidemiology, Respiratory System, Proteomics, Immune Mediators: Cytokines and Chemokines, biomarker discovery and development, clinical epidemiology, health care economics, medication adherence

Potential project areas:

Cystic Fibrosis blood biomarker research and development - proteomics and transcriptomics Health outcomes research using the Canadian Cystic Fibrosis Registry - clinical epidemiology

Research Interests: Water, Hydrological Cycle and Reservoirs, Drinking Water, Fresh Water, Information, Hydroelectricity, Ice and Snow, Control of water systems, Droughts, Experimental hydrology, Floods, Hydrological Prediction, Hydrology, Information theory, Mountain hydrology, Sensors, Uncertainty, Water resources management

Potential project areas:

Projects regarding new measurement techniques for catchment hydrology
Projects working on uncertainty analysis / quantification for hydrological prediction
Projects on optimal monitoring network layout / optimal expermental design
Projects on applications of information theory in hydrology and water resources

Research Interests: Administrative health data, Complex Trait Genetics, Electronic health records, Epidemiology, Genetic epidemiology, Genetics of Neurological and Psychiatric Diseases, Machine learning, Mental Health and Psychopathology in Children and Youth, Precision health, Statistical genetics

Potential project areas:

The last decade has seen an unprecedented explosion of data. In medicine, data are increasingly being generated and linked across electronic health records, administrative databases, and biobanked samples. These resources hold tremendous promise for improving human health and achieving precision medicine, which will only be realized by thoughtful study designs and innovative analyses.

My lab uses novel computational methods grounded in genetic epidemiology and statistical genetics to capitalize on today’s big data resources. We aim to understand how genetic and epigenetic differences between people contribute to variation in disease susceptibility, response to treatment, and recovery. A primary goal of our research is to reduce the suffering associated with psychiatric disorders, many of which first manifest in childhood and adolescence. We conduct studies in large population datasets, with a major interest in electronic health records and biobanks, and we work at the intersection of genetics, epidemiology, statistics, bioinformatics, and computer science.