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algorithms for advanced parallel and distributed computational platforms, prevent scientists from advancing in their domains. The challenges include the facts that (1) microscopy image acquisition generates
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(e.g., Alzheimer’s disease). We want to explore solutions that combine parallel architectures (i.e., GPUs or accelerator boards, clusters) and numerical algorithms suited to such architectures with the
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beam is parallel to the shear gradient and to the flow direction respectively, information on the material microstructure during the shear have been reported on dispersion of acicular nanoparticles
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solutions in complex, large scale simulations, and the development towards this end of efficient, highly parallel software running on commodity hardware. Novel methods to compute the stray field from
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parallel multimodal analysis including proteomic, metabolomic and lipidomic approaches. These methods will be foundational to studies of microbiome dynamics and functions. Due to the interdisciplinary
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networks will require the parallel development of optical links. We have leveraged the advent of robust optical frequency combs along with advanced digital signal processing techniques to develop methods
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assays targeting markers of forensic interest. Next Generation Sequencing (NGS, also known as Massively Parallel Sequencing) has revolutionized molecular genetic research and clinical diagnostics over
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these high resolution studies to DNA-based molecular motors and RNA-folding. In a parallel effort, we significantly enhanced the biophysical capabilities of an atomic force microscope (AFM
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, massively parallel, single-molecule peptide sequencing. This platform is not limited in dynamic range and thus will enable identification of the composition of complete proteomes through the
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large numbers of samples in massively parallel, low-cost analysis systems that do not rely on optical or aptamer-based labels. Before such systems can be realized, the electromagnetic response of