Pranali Roy Chowdhury

Pranali Roy Chowdhury is a Research Fellow at the University of Alberta's Department of Mathematical and Statistical Sciences, where she leads toxic-based ecosystem modelling research in the Interdisciplinary Lab for Mathematical Ecology and Epidemiology (ILMEE) under Prof. Hao Wang. Previously, she held a postdoctoral position at the Indian Institute of Technology (IIT) Bombay in the Department of Mathematics, contributing to the National Disease Modelling Consortium's work on Respiratory Syncytial Virus (RSV) burden estimation in India. She earned her PhD in Mathematics from IIT Kanpur in 2023.

Pranali completed her PhD in Mathematics at the Indian Institute of Technology Kanpur (IITK), India, in 2023. Her doctoral research focused on canards, relaxation oscillations, and transient spatiotemporal patterns in ecological systems. Prior to this, she briefly held a postdoctoral position at IIT Bombay.

Her research interests revolve around mathematical modelling in ecological and epidemiological contexts, with a focus on dynamical systems and pattern formation. She explores these topics through interdisciplinary approaches, particularly examining the impact of toxins on ecosystems, slow-fast systems in predator-prey interactions, and spatio-temporal dynamics in fragmented habitats. Her work integrates both theoretical analysis and applied mathematical techniques to address real-world challenges in environmental and public health domains.

Her publications reflect a strong emphasis on slow-fast dynamical systems and their applications in ecology and epidemiology. Recent work includes examining methane's ecological impact, oxygen minimum zones in plankton dynamics, and bifurcation analysis in predator-prey models. She also investigates transient dynamics and pattern formation in spatio-temporal systems, highlighting the role of time scales in ecological stability and disease spread modeling.

In terms of advising and grants, Pranali Roy Chowdhury is currently leading research projects within ILMEE and previously contributed to the National Disease Modelling Consortium. While she has not listed formal advisees, her work involves collaborations and supervision within these interdisciplinary research environments. Details about specific grants or funding are not explicitly provided in the text.

She is affiliated with the Interdisciplinary Lab for Mathematical Ecology and Epidemiology (ILMEE) at the University of Alberta and was part of the National Disease Modelling Consortium during her time at IIT Bombay.