Hello! I am 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. I hold both a Bachelor’s and Master’s degree in Mathematics. During my Ph.D. journey, I aim to apply mathematics and Bayesian statistics to address complex problems in disease modeling, ecology, and evolutionary biology. Currently, I am working in Dr. Majid Bani's lab as a research assistant for an NSF project.

My 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 and environmental disruptions become increasingly complex, traditional models often fail to capture the stochastic nature and real-world variability inherent in these systems. To bridge this gap, I focus 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.

By incorporating Bayesian inference, reaction-diffusion models, and evolutionary dynamics, my research goes beyond theoretical analysis and aims to provide quantitative tools for decision-making in epidemic control, biodiversity conservation, and climate adaptation. My work is progressing through rigorous model refinement, computational simulations, and validation with real-world datasets, ensuring that the methodologies are mathematically sound and applicable to real-world challenges. As I advance in my Ph.D. journey, I am continuously expanding my expertise in applied mathematics, statistical inference, and computational techniques, strengthening my ability to contribute to epidemic preparedness, environmental sustainability, and disease control efforts by developing models that can anticipate emerging threats, assess intervention effectiveness, and support policy decisions. My ongoing work reflects a strong commitment to advancing mathematical modeling as a powerful tool for addressing pressing global challenges.

Feel free to explore, and don’t hesitate to reach out for collaborations, questions, or discussions!