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    Michael Pacer

    Michael Pacer, also known as M Pacer, is a former PhD student at the University of California, Berkeley, who has since built a successful career in data science and machine learning.1 Here are some key details about his background and career:

    Education and Research

    Michael Pacer completed his PhD in Cognitive Science at UC Berkeley from 2010 to 2016.1 During his time as a graduate student, he focused on computational cognitive science, with particular emphasis on computational causal inference and causal explanation in humans and machines.12

    Career Progression

    After completing his PhD, Michael's career has evolved as follows:

    1. Postdoctoral Scholar: He worked as a postdoctoral scholar for Project Jupyter at the Berkeley Institute for Data Science from October 2016 to April 2018.1

    2. Netflix: Michael has held several positions at Netflix since 2018:

      • Senior Notebook Engineer (April 2018 - October 2018)
      • Senior Software Engineer, Notebooks (October 2018 - January 2020)
      • Senior Data Scientist (January 2020 - August 2022)
      • Senior Machine Learning Scientist (August 2022 - Present)1

    Research and Expertise

    Michael's research work has garnered 104 citations, with a notable publication titled "Ockham's Razor Cuts to the Root: Simplicity in Causal Explanation".2 His expertise lies in areas such as data science, machine learning, and Jupyter technologies.1

    Additional Information

    • Michael is a member of the Project Jupyter Steering Council.1
    • He has received several honors and awards, including the National Defense Science and Engineering Graduate Fellowship and the Berkeley Fellowship for Graduate Study.1
    • His LinkedIn username is indeed mikepacer, as mentioned in the query.1

    Michael Pacer's career trajectory demonstrates a successful transition from academic research to industry, where he now applies his expertise in cognitive science and machine learning to solve complex problems in the field of data science and content programming at Netflix.

    Related Questions

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