Rate My Professor Tamer Oraby

Oraby's research specializations include infectious disease modeling for diseases such as COVID-19, MERS-CoV, pertussis, measles, mad cow disease, and chronic wasting disease, emphasizing mitigation through vaccination and culling. He utilizes deterministic models (ordinary and fractional differential equations), stochastic approaches (continuous-time Markov chains, multi-type branching processes), behavioral game theory for human responses to control measures, model calibration via maximum likelihood or Bayesian methods, and statistical modeling for environmental and ecological applications. Additional interests cover random matrices, random walks on trees, and numerical solutions to stochastic partial differential equations. Key publications feature 'Bounded rationality alters the dynamics of paediatric immunization acceptance' in Scientific Reports (2015), 'The influence of social norms on the dynamics of vaccinating behaviour for paediatric infectious diseases' in Proceedings of the Royal Society B (2014), 'Assessing the pandemic potential of MERS-CoV' in The Lancet (2013), and multiple articles on chronic wasting disease and bovine spongiform encephalopathy risk management in Journal of Toxicology and Environmental Health, Part A (2016). He has earned the COS Excellence Award in Mentoring Students (2019), Dean Seed Grant (2016), Faculty Research Council Grant (2016), and other funding supports. Oraby advises master's and undergraduate students on theses and projects related to disease modeling and statistical analysis.