Stephen Welch

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Progress in breeding higher-yielding crop plants would be greatly accelerated if the phenotypic consequences of making changes to the genetic makeup of an organism could be reliably predicted. Developing a predictive capacity that scales from genotype to phenotype is impeded by biological complexities associated with genetic controls, environmental effects(More)
The FireGrid project aims to harness the potential of advanced forms of computation to support the response to large-scale emergencies (with an initial focus on the response to fires in the built environment). Computational models of physical phenomena are developed, and then deployed and computed on High Performance Computing resources to infer incident(More)
FireGrid is a modern concept that aims to leverage a number of modern technologies to aid fire emergency response. In this paper we provide a brief introduction to the FireGrid project. A number of different technologies such as wireless sensor networks, grid-enabled High Performance Computing (HPC) implementation of fire models, and artificial intelligence(More)
Recommended Citation Lai, Mijia. "Fully nonlinear flows and Hessian equations on compact Kahler manifolds. ABSTRACT In this thesis, we will study a class of fully nonlinear flows on Kähler manifolds. This family of flows generalizes the previously studied J-flow. We use the quotients of elementary symmetric polynomials or log of them to construct the flow.(More)
We investigate the problem of learning to predict dynamical systems that exhibit switching behavior as a function of ex-ogenous variables. The family of dynamical systems we present is significant to the modeling of gene expression and organismal response to environmental conditions and change. We first develop a framework for learning to predict events(More)
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