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Ryan Williams

Software Engineer, Icahn School of Medicine at Mount Sinai

Ryan is a software developer at Mount Sinai School of Medicine, focused on open-source tools for distributed genomic- and single-cell analyses in the cloud.

Ryan Williams

Sessions / 2018 / 1 talk

  • Accelerating Single-cell Bioinformatics with N-dimensional Arrays in the Cloud

    Single-cell sequencing generates a new kind of genomic data, and with it new storage and compute challenges. I'll talk about recent work parallelizing analysis of this data using a variety of distributed backends (Apache Spark, Dask, Pywren, Apache Beam). I'll also discuss the Zarr format for storing and working with N-dimensional arrays, that several scientific domains have recently gravitated toward in response to challenges using HDF5 in parallel and in the cloud.

Sessions / 2016 / 1 talk

  • Genomic Data Analysis with Spark & Hadoop

    Mt Sinai's Hammer Lab has used, and developed, a variety of tools for analyzing genomic data on Spark and Hadoop. Ryan will discuss unique challenges such data present, discuss present and future data-intensive problems in genomics, and reflect on Spark's and the Hadoop ecosystem's applicability to such problems.

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