Ecologist. Teaches data analysis, ecological modelling, and responsible use of data. Associate Professor, Department of Biological Sciences, Université de Montréal
Alice Doucet Beaupré
2022-, Post-doctoral researcher. Unsupervised learning and uncertainty quantification for network prediction.
Camille Rondeau Saint-Jean
2021-, M.Sc. Deep-learning for the bioacousting monitoring of bird communities.
2020-, Ph.D. Machine Learning techniques for food web structure inference at the planetary scale. Co-advisor: Dominique Gravel
2021-, Ph.D. Quantification of the structural originality of food webs over continuous spatial scales. 2019-2021, M.Sc. Development of beta-diversity measures for spatially continuous hotspot identification. Co-advisor: Pierre Legendre.
2022-, Post-doctoral researcher. Development of multi-criteria monitoring and biosurveillance networks.
Maria Isabel Arce Plata
2022-, Ph.D. Machine learning for the upscaling of field observation of plant functional traits. Co-advisor: Natalia Norden.
2020-, Ph.D. Machine Learning and Data Synthesis for the prediction of viral spillover events. Co-advisor: Patrick Leighton
2019-, Post-doctoral researcher. Type theory and higher-order probabilistic programming for ecological synthesis. 2014-2018, Ph.D. Artificial Intelligence applied to theory building for ecological synthesis. Advisor: Dominique Gravel.
2021, M.Sc. research intern. Meta-models for inference and forecasting of biodiversity uniqueness. 2022, M.Sc. research intern. Ethical implications of the use of UAVs for biodiversity research.
2020-, Ph.D. Common properties of species interactions networks across space.
2020, B.Sc. research assistant. Structural analysis of the host-sharing network of coronaviruses. 2021-, M.Sc. Spatial structure of ecological networks over large gradients.
2018, BSc research assistant. Review of best practices to use image recognition software on wildlife cameras.
2015, M.Sc. Understanding how management programs could gain from studying the variability of plant-pollinator interactions.
2019-, M.Sc. Biogeography of lakes ecosystem services. Advisor: Roxane Maranger.
2019-2020, Post-doctoral researcher. Development of biodiversity indicators for the governmental monitoring of biodiversity. 2018-2019, Post-doctoral researcher. High-throughput processing of camera-trap data.
2016, IT. Development of a responsive interface for the mangal.io database.
2017, BSc research assistant. Automated extraction of phylogenetic data from species interaction networks.
2015-2016, BSc Hons. Planification, management, and restoration of landscape connectivity in the Laurentians. 2015, BSc research assisant. Environmental drivers of host-parasite interaction variability.
2018-2020, M.Sc. Blue-green connectivity and ecosystem integrity in the Laurentians. Co-advisor: Roxane Maranger. 2017-2018, BSc research assistant. Best practices for the development and implementation of ecological corridors. Co-advisor: Roxane Maranger.
2017, M.Sc. Inventory of open biodiversity data in Quebec, and creation of decision-helping tools.
2018, BSc research assistant. Machine learning techniques to produce dynamics maps of land use from digitized and numeric maps.
2021, associate post-doctoral fellow. Machine-learning assisted inference of epidemic dynamics.
2015-2020, Ph.D. Causes and consequences in the relationships between food web structure and ecosystem functioning. Co-advisor: Daniel B. Stouffer.
2019, M.Sc. Training of a neural network for mammals recognition in Québec. Advisor: Andrew MacDonald.
2019-2020, visiting Ph.D. Biological interactions, environmental variables, and biogeographical species distributions.
2017, BSc research assistant. Measures of species complementarity in quantitative networks.
2020, BSc research assistant. Survey of data on food webs in North America.
Joseph B. Burant
2020-, Post-doctoral fellow with the Living Data Project.
2020, M.Sc. Neural networks for rapid connectivity analyses. 2019, M.Sc. Prey use of generalist predators across their range.
2020, Research assistant. Preparation of data for the forecasting of coronaviruses epidemic risk.
2020, MSc research intern. Singular Value Decomposition as an imputation method for host-virus detection.
2016-2022, Ph.D. Eco-evolutionary dynamics in networks of positive and negative interactions. Co-advisor: Dominique Gravel.
2017-2018, visting post-doctoral researcher. Pairwise learning to predict the structure of ecological networks.
2018, visiting Ph.D. Implementation of structural models of food web structure.
2013-2016, M.Sc. Interactions between trees from experimental plantations and their microbial ectosymbionts.
2021-2022, M.Sc. research intern. Pathogen sharing in the global virome.
2019, M.Sc. Development of indicators based on eBird data to survey urban biodiversity changes in Montréal.
2017-2020, M.Sc. Impacts of temperature on the metabolic rates of ecological communities. Advisor: Dominique Gravel.
2019-2020, Ph.D. Automated aggregation, synthesis, and forecasting of unstructured biodiversity data. 2018-2019, Staff scientist. Improvements on the mangal.io database backend and frontend.
2018, M.Sc. Variation in the composition of insect communities in forest fragments. Advisor: Colin Favret. 2017-2018, BSc Hons. Robustness of permutation tests for the analysis of ecological network structure.