Biography:
Barsha Saha, a dedicated researcher and Ph.D. student in Mathematics with a co-discipline in Bio-Health Informatics at the University of Missouri-Kansas City. She holds both a Bachelor’s and Master’s degree in Mathematics. During her Ph.D. journey, she aim to apply mathematics and Bayesian statistics to address complex problems in disease modelling, ecology, and evolutionary biology. Her research aims to enhance existing mathematical models to provide a deeper and more accurate understanding of host-pathogen interactions, the impact of extreme weather on ecosystems, and zoonotic spillovers. As infectious diseases dynamics combined with environmental disruption effects become increasingly complex, traditional models often fail to capture the stochastic nature and real-world variability inherent in these systems. To bridge this gap, she focusus on developing stochastic and data-driven models that integrate long-term ecological and epidemiological data, allowing for more reliable predictions and actionable insights for public health strategies and ecological management.


Title : Utility of infection disease compartmental models to test the competing hypotheses of pathogen evolution and human intervention