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    John Zedlewski

    Bringing open source GPU acceleration to data science with RAPIDS.

    John Zedlewski is leading the core engineering team for RAPIDS at NVIDIA, an open source initiative for GPU accelerated data science and data engineering, allowing users to code against familiar APIs based on Python/Pandas, Scala/Spark, or SQL and take advantage of highly-optimized CUDA core.

    His professional journey includes roles such as Senior Director and Former Director of Accelerated ML at NVIDIA, where he also led teams in deep learning and data platforms for autonomous driving. Prior to that, he held positions at Enlitic, Castlight Health, Advanced Analytical Consulting Group, and VMware in roles spanning from leading hands-on DL research to kernel engineering.

    John Zedlewski's educational background comprises a MA and ABD in Economics from Harvard University and an AB in Computer Science from Princeton University.

    John Zedlewski
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    Location

    Berkeley, California, United States