thepoisotlab

Loves ecology; loves being inside more. Teaches data analysis, ecological modelling, and synthesis.

Biological interactions, environmental variables, and biogeographical species distributions.

Automated aggregation, synthesis, and forecasting of unstructured biodiversity data.

Variation in the composition of insect communities in forest fragments.

Automated image recognition for biodiversity monitoring.

Data-driven estimation of wildland conservation value at various scales.

Co-evolution and local adaptation in microbial host-parasite systems.

Ecosystem functions and food web structure.

Prey use of generalist predators across their range.

Spatially continuous identification of β-diversity hotspots using SDMs.

Training of a neural network for mammals recognition in Québec.

Overview of urban biodiversity initiatives in the greater Montréal area.

Development of indicators based on eBird data to survey urban biodiversity changes in Montréal.

Ecosystem functions and food web structure.

Review of best practices to use image recognition software on wildlife cameras.

Machine learning techniques to produce dynamics maps of land use from digitized and numeric maps.

Pairwise learning to predict the structure of ecological networks.

Measures of species complementarity in quantitative networks.

Automated extraction of phylogenetic data from species interaction networks.

Inventory of open biodiversity data in Quebec, and creation of decision-helping tools.

Development of a better, more responsive interface for the mangal.io database.

Planification, management, and restoration of landscape connectivity in the Laurentians.

Understanding how management programs could gain from studying the variability of plant-pollinator interactions.

Applying machine learning and deep transfer knowledge to solve complicated ecological problems of all sorts.

Interactions between trees from experimental plantations and their microbial ectosymbionts.