James Verbus

San Francisco Bay Area Contact Info
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About

I use AI to detect and prevent abuse at scale.

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Experience & Education

  • LinkedIn

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Publications

Projects

  • Isolation Forest

    This is a Scala/Spark implementation of the Isolation Forest unsupervised outlier detection algorithm. This library was created by James Verbus from the LinkedIn Anti-Abuse AI team.

    This library supports distributed training and scoring using Spark data structures. It inherits from the Estimator and Model classes in Spark's ML library in order to take advantage of machinery such as Pipelines. Model persistence on HDFS is supported.

    More information here:…

    This is a Scala/Spark implementation of the Isolation Forest unsupervised outlier detection algorithm. This library was created by James Verbus from the LinkedIn Anti-Abuse AI team.

    This library supports distributed training and scoring using Spark data structures. It inherits from the Estimator and Model classes in Spark's ML library in order to take advantage of machinery such as Pipelines. Model persistence on HDFS is supported.

    More information here: https://engineering.linkedin.com/blog/2019/isolation-forest

    See project

  • Detection of unusual travel patterns to prevent user account compromise

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    Castle.io provides automated detection of compromised user accounts and account hijack attempts for online businesses. I developed an improved model for Castle to determine if a user action in a new location is legitimate.

    See project

  • LUX Dark Matter Experiment

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    The Large Underground Xenon (LUX) Dark Matter Experiment is a particle detector with a 370 kg liquid xenon target located one mile underground at the Sanford Underground Research Facility in Lead, SD. The LUX experiment is currently the world's most sensitive detector for dark matter in the form of weakly interacting massive particles (WIMPs).

    Other creators
    • LUX Collaboration
    See project

  • LZ Dark Matter Experiment

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    LZ is a next-generation dark matter direct detection experiment. LZ has been selected to be one of three funded G2 dark matter experiments. The LZ collaboration consists of 128 scientists and engineers from 29 institutions in the U.S., U.K, Portugal, and Russia.

    The LZ detector consists of 7 tonnes of liquified xenon to detect faint interactions between galactic dark matter and regular matter. Dark matter comprises about 85% of the mass of the Universe, and its particle nature is still…

    LZ is a next-generation dark matter direct detection experiment. LZ has been selected to be one of three funded G2 dark matter experiments. The LZ collaboration consists of 128 scientists and engineers from 29 institutions in the U.S., U.K, Portugal, and Russia.

    The LZ detector consists of 7 tonnes of liquified xenon to detect faint interactions between galactic dark matter and regular matter. Dark matter comprises about 85% of the mass of the Universe, and its particle nature is still unknown.

    The name LZ stems from the merger of two dark matter detection experiments: LUX (Large Underground Xenon) and ZEPLIN (ZonEd Proportional scintillation in LIquid Noble gases).

    Other creators
    • LZ Collaboration
    See project

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