About Alvaro Moraes Alvaro Moraes Postdoctoral Research Fellow, Stochastic Numerics Research Group uncertainty quantification Alvaro Moraes worked as a Postdoctoral Fellow at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Prior to that, Alvaro obtained a Ph.D. degree in Applied Mathematics from KAUST. Research Interests Alvaro's research interests included Uncertainty Quantification, Multiscale Modeling of Epidemic Diseases, and their Statistical Analysis and Simulation and Inference for Pure Jump Processes. Selected Publications A. Moraes, F. Ruggeri, R. Tempone and P. Vilanova, " Multiscale Modeling of Wear Degradation in Cylinder Events Presented Events Jan 25 - Jan 31, 2015 Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models by Alvaro Moraes Alvaro Moraes, Postdoctoral Research Fellow, Stochastic Numerics Research Group Jan 26, 14:00 - 15:00 Al Marsa Yacht Club Markovian epidemic models are stochastic models belonging to a wide class of pure jump processes known as Stochastic Reaction Networks (SRNs) that have been mainly developed to model biochemical reactions. SRNs also have applications in neural networks, virus kinetics, and dynamics of social networks, among others.
Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models by Alvaro Moraes Alvaro Moraes, Postdoctoral Research Fellow, Stochastic Numerics Research Group Jan 26, 14:00 - 15:00 Al Marsa Yacht Club Markovian epidemic models are stochastic models belonging to a wide class of pure jump processes known as Stochastic Reaction Networks (SRNs) that have been mainly developed to model biochemical reactions. SRNs also have applications in neural networks, virus kinetics, and dynamics of social networks, among others.
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