Algorithms in in-memory databases and unsupervised machine learning that target parallel architectures (shared- and distributed-memory, including CPUs and GPUs). My interest is in using parallel computing to solve problems in astronomical applications (similarity searches, clustering, stream processing, etc.). Open to collaborating on proposals in interesting application areas that need to exploit parallel computing.

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