Discover and read the best of Twitter Threads about #postac

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In my past life as an academic, one of the things people would do is examine my tweets for subtext whenever they were trying to say πŸ’© things about me to discredit this in some way.
But the funny thing is as my friend @jessifer said to me when he encountered those folks, β€œHave you even met Adeline? She already says all the things she’s not supposed to say! What is the need to look at subtext?” πŸ˜‚πŸ˜‚πŸ˜‚
This sheds on light on some of the numerous ways I did not fit into #academia. I am honest and direct and forthright as much as I am able.

This never fit into academic social norms, which rely on courtly manners, prevarication and dissemination in majority of social contexts.
Read 4 tweets
After 6 years, I have left the tenure track. I’m beyond excited to begin a new #postac role (Director of Health Informatics) next week.

I do have some parting thoughts about the unique situation data scientists face in academia currently. 1/
There is increasing recognition that everyone *needs* a data scientist, and this is often distinct from a statistician (which everyone also needs!!). Data are messy, projects need reports/dashboards, figures should be elegant, reproducible pipelines/data sharing should happen.
Data scientists treat these problems as top priority. Statisticians need all that infrastructure to *just work* because they need to operate at top-of-license conducting inference.
Read 14 tweets

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