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Eric Kernfeld
Eric Kernfeld

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Christopher Burke
Prof. Tim Atherton’s group in the physics department makes heavy use of the research cluster. Our focus is soft condensed matter, i.e. complicated solids and fluids such as emulsions, colloids, and liquid crystals. Simulations allow us to understand the behavior of these complex systems, which are often difficult to study analytically. Graduate student Chris Burke is studying how particles can be packed onto curved surfaces. This is in order to understand, for example, how micron-sized polymer beads would arrange themselves on the surface of an oil droplet. He uses the cluster to run large numbers of packing simulations and to analyze the large data sets that result. Post-doc Badel Mbanga and undergraduate Kate Voorhes study the behavior of coalescing droplets coated with liquid crystals. In particular, they are interested in the behavior of defects in the liquid crystal layer as coalescence occurs. They run computationally expensive simulations which would be impractical without the computing power available on the cluster.
Christopher Burke

Albert Tai

I am the manager and primary Bioinformatican of the TUCF Genomics Core, overseeing the operation of three deep sequencing instruments (Illumina HiSeq 2500, MiSeq and Roche 454 Titanium FLX), and their associated services. As part of these services, I provide primary and secondary data analysis services, and or training associated with these analysis. Deep sequencing generates a large amount of data per run and data analysis requires a significant amount of computing resources, both processing and analytical storage. The high performance research cluster and its associated storage is an essential tool for myself and the users of core facility. The parallel computing capability allow us to analyze large data sets in a timely manner. It also expedites troubleshooting processes, which sometime require us to test multiple analytical parameters on a single data set. As the amount of data generated in biological research increases, high performance computing resources has become an essential resource. I would certainly hope to see the expansion of this crucial computing resource.

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