MRes in Statistical and Computational Modelling in Coventry United Kingdom | Coventry University

Natural and technological complex systems typically comprise numerous simple elements that interact to produce intricate collective behaviors. To comprehend these behaviors, we employ statistical, mathematical, and computational modeling approaches, blending process-oriented and data-driven methods to create effective analysis and prediction strategies.

Beyond machine learning and other data-centric methods, we apply reverse engineering alongside mathematical and statistical modeling to address biological and engineering challenges. Although often labeled as model-free, data-driven approaches actually involve parameter optimization, with results being only as reliable as their foundational models.

Ongoing research initiatives in this area:

Analyzing and forecasting the development of neurological disorders including Alzheimer's and Parkinson's disease
Examining the mental health consequences of flooding events in the UK
Developing spatial-temporal models for HIV, Cholera, and COVID-19 to guide transmission analysis, forecasting, and policy formulation
Anticipating pedestrian movements to enhance connected vehicle systems
Simulating protein movement during cellular membrane transport processes