I’m a PhD researcher with a deep interest in Mathematical Ecology, Applied Mathematics, and Machine Learning. My passion lies in using mathematical and statistical modeling to uncover insights from complex biological and ecological systems.
I enjoy exploring the intersection of mathematics, statistics, and ecology, with a focus on developing models that bridge theoretical foundations and real-world applications. Whether it’s modeling ecological interactions or leveraging machine learning to study environmental patterns, I am driven by curiosity and interdisciplinary thinking.
Lately, I’ve been especially fascinated by the use of machine learning in ecology - how modern data-driven tools can complement classical ecological modeling to better understand, predict, and potentially mitigate environmental challenges.
Ankana Dey
Department of Mathematics
Faculty of Science
University of Ottawa
STEM Complex (STM) 507
150 Louis-Pasteur Private
Ottawa (Ontario)
Canada K1N 9A7
adey098@Uottawa.ca
Ankana.Dey@USherbrooke.ca
Differential Equations (ODEs, PDEs), Dynamical systems
Spatial Ecology, Ecological Interactions, Ecological Dynamics
Statistical Inference, Stochastic processes
Predictive Modelling, Spatio-temporal modelling
Pharmacokinetic and Pharmacodynamic modeling, Drug delievery
PhD in Applied Mathematics • Sept 2023 - Aug 2027
supervised by Prof. Frithjof LutscherMaster in Mathematics Pathaways in Statistics • Sept 2021 - Aug 2023
Thesis : Adapting Metacommunity Theory for the Human Microbiome,
supervised by Prof. Guillaume Blanchet
Inter-University Transfer Student • Winter 2020
M.Sc Degree in Mathematics • Aug 2018 - Oct 2020
Term Project: Unsteady analysis of arterial pharmacokinetics in stent-based delivery, supervised by Prof. Prashanta Kumar Mandal
B.Sc Degree in Mathematics • Aug 2015 - June 2018
Awarded by Interdisciplinary Math and Artificial Intelligence (IMA) Program (CREATE) • 2024 - 26
Awarded by Department of Mathematics & Statistics, University of Ottawa • 2023 - 27
Awarded by Department of Mathematics & Statistics, University of Ottawa • 2023 - 27
Awarded by Département de mathématiques, Université de Sherbrooke • 2023
Awarded by Centre de la Science de la Biodiversite du Québec (QCBS) • 2023
Awarded by Sciences et Services de la Biodiversité Computationnelle (BIOS²) • 2022 - 2023
Awarded by UQAM, Montréal, Canada• 2022
Selected by Sciences et Services de la Biodiversité Computationnelle (BIOS²) • 2022 - 2023
Awarded by Sciences et Services de la Biodiversité Computationnelle (BIOS²) • 2021 - 2022
Selected by Centre de la Science de la Biodiversite du Québec (QCBS) • 2022 - present
Selected by Sciences et Services de la Biodiversité Computationnelle (BIOS²) • 2021 - 2022
Department of Mathematics and Statistics, University of Ottawa • Summer 2024
Department of Mathematics and Statistics, University of Ottawa • Winter 2024
Department of Mathematics and Statistics, University of Ottawa • Fall 2023
Département de mathématiques, Université de Sherbrooke • Summer 2023
Département de mathématiques, Université de Sherbrooke • Fall 2022
Queen's University, Kingston, Canada • June 2024
University of Ottawa, Ottawa, Canada • June 2023
Carleton University, Ottawa, Canada• May 2003
Capturing this moment, we embrace the end of one journey and the beginning of the next, surrounded by the wisdom and warmth of our beloved professors.
Celebrating the successful defense of my Master's thesis with this incredible team of thinkers.
[First row (right to left) : Nicolas Bannester-Marchand, Noudehouenou Freedich Madjid Houessou, Laurie Boulerice, Varina Crisfield, Me; Second row : F. Guillaume Blanchet (supervisor), Marie-Amélie Blais]
Theme : Linking Species Distributions and Traits to understand Ecosystem Functioning
More information is available here.
Theme : Biodiversity Change and Data Visualisation
More information is available here.