Human Stories in AI

著者: Joshua Starmer
  • サマリー

  • Human Stories in AI with StatQuest and Lighting AI is about the career journeys of passionate AI experts. From their humble beginnings to conquered challenges, we'll be inspired by the real-world experiences of professionals thriving in the ever-evolving AI landscape.
    Copyright 2024 Joshua Starmer
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あらすじ・解説

Human Stories in AI with StatQuest and Lighting AI is about the career journeys of passionate AI experts. From their humble beginnings to conquered challenges, we'll be inspired by the real-world experiences of professionals thriving in the ever-evolving AI landscape.
Copyright 2024 Joshua Starmer
エピソード
  • Amy Finnegan - IntraHealth International
    2024/02/10

    In this episode we have special guest Dr. Amy Finnegan, the Deputy Director of Data Science at IntraHealth International. Amy is a demographer and data scientist with over 10 years of experience working in global health, development, and data science in emerging economies on four continents. Amy is also an adjunct faculty at Duke University’s Global Health Institute, and before these jobs, she was a research scholar at Duke.

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    28 分
  • Xavier Moyá - HBX Group
    2024/02/10

    In this episode we have special guest Xavier Godoy, the director of customer experience and automation at HBX Group in Mallorca, Spain. Xavier has had a career driven by curiosity and a desire to learn more while simultaneously making sure that customer satisfaction is always is the focus of his efforts.

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    33 分
  • Tommy Tang - Immunitas Therapeutics
    2024/02/10

    In this episode we have special guest Tommy Tang, the Director of Computational Biology at Immunitas Therapeutics. Tommy is a computational biologist with over ten years of computational experience and six years' wet lab experience committed to reproducible research and open science. At Immunitas Therapeutics, Tommy employs a single-cell sequencing platform to dissect the biology of immune cells in human tumors by using machine learning approaches and cloud computing. Before all of this, Tommy was a lead scientist at the Dana-Farber Cancer Institute.

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    37 分

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