Bari Hridoy

Dr. Hridoy develops and analyzes mathematical and computational models to better understand the dynamics of infectious diseases, with a particular focus on environmental and demographic variability. His research investigates the spread of infectious diseases, including vector-host interactions, with the goal of uncovering hidden transmission patterns, optimizing intervention strategies, and improving outbreak prediction to inform public health decision-making.

 

His work lies at the intersection of mathematics and epidemiology, drawing on deterministic, stochastic, and data-driven modeling approaches that capture seasonality, spatial heterogeneity, and human mobility. He has developed novel metrics to assess the influence of seasonality on disease spread, extending existing measures to more complex stochastic frameworks. His broader research interests include the modeling, analysis, and simulation of population and ecosystem dynamics.