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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 💩 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, “Have you even met Adeline? She already says all the things she’s not supposed to say! What is the need to look at subtext?” 😂😂😂
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.
This never fit into academic social norms, which rely on courtly manners, prevarication and dissemination in majority of social contexts.
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/
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.
