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Hey there, I'm Julia 👋

I am a data scientist who is driven to make sense of why people do what they do and to figure out how we can make better decisions.

In the past, this led me to the fields of psychology and cognitive science, where I earned my PhD studying why, when, and how humans and other primates make irrational decisions. I transitioned to a data career in industry to have a more direct impact on people's day-to-day lives. As a data science fellow at Insight, I consulted with the social media startup Stacks to build them an end-to-end recommender system that helps users more easily connect with each other on the app and find content that they'll love.

Currently, I am extremely excited to use this drive and my skills as a data scientist at Audible to empower listeners to find relevant content that they meaningfully care about and to help them get the most out of the catalog.

Get in touch!


  1. Academic vita

    TeX 1

  2. Contributions to #TidyTuesday

    R 21 4

  3. ManyPrimates1 short-term memory study


  4. 1
      "type": "FeatureCollection",
      "features": [
          "type": "Feature",
  5. Data/code for paper in Japanese Psychological Review


  6. Shiny apps


259 contributions in the last year

Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Mon Wed Fri

Contribution activity

September 2020

1 contribution in private repositories Sep 23

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