Travis Gerke

@travisgerke

Cancer epidemiologist/data scientist :: ScD :: Founder :: Dad/little league ⚾️ manager

Tampa, FL
Joined April 2009

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  1. Pinned Tweet
    7 Nov 2019

    How do you pronounce the g in “regex”?

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  2. 17 hours ago

    Establishing a real life : these two are pumped for

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  3. Retweeted
    Jan 30

    On "R is insufficient" to doing stuff at a job: "you probably don't want to work there" paraphrasing 📈📈📈📈

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  4. Jan 30

    Goals: empower unicoRns to capture the salary they deserve, and empower data science hiring managers to recruit and appropriately compensate the unicoRns they need.

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  5. Jan 30

    With the help of a fantastic HR compensation consultant, I wrote R-centric job descriptions (slide 21) that map to the salaries shown on slides 22-23.

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  6. Jan 30

    BUT modern users have unicorn qualities: access to a robust suite of packages and tools makes completion of a previously unconquerable list of tasks feasible with a single programming language; i.e. unicoRns are real.

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  7. Jan 30

    Warnings re: companies that post "data scientist unicorn" job descriptions are valid; many have unrealistic expectations of a data scientist who may have little org support (source: )

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  8. Jan 30

    Happening in this block (1:23, Imperial ballroom): "UnicoRns are real"! I'll show salary data for data scientists across the US, and how R-centric job descriptions can be written to align. Details in thread. 📺 💻

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  9. Jan 29

    Pumped for sessions to kick off this morning! If only I were 4 people; I would be in all sessions at once 😀💻😀💻😀💻😀💻 I speak tomorrow at 1:20 and will share national data re: data scientist salaries and how these map to all you unicoRns 🦄

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  10. Jan 28

    Unrelated to this list: shoutout to RStudio cloud capabilities: when hotel wifi didn’t provide sufficient signal, many of us resorted to mobile hotspots, effectively performing deep learning on GPUs from our phones. 2020 and all that jazz 🤯

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  11. Jan 28

    ridge penalty -> weight decay iteration -> epoch str_split() -> tokenization linear binary classifier -> perceptron iterative gradient descent -> backpropagation

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  12. Jan 28

    scalar -> 0D tensor vector -> 1D tensor matrix -> 2D tensor array -> 3D+ tensors intercept -> bias coefficients -> weights link function -> activation function negative log likelihood -> cross entropy loss

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  13. Jan 28

    Was thrilled to take the 💯⭐️⭐️⭐️⭐️⭐️ workshop “Deep Learning with Keras and TensorFlow in R” from Observation: So much term rebranding in deep learning. I have a section of notes of the form: {ye olde stats term} -> {fancy-pants deep learning term}

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  14. Jan 27

    (to be clear: Mara is 💯 as awesome and friendly in real life as on twitter; the dog mixup is to be expected at a conference where we most often all know each other on twitter first!)

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  15. Jan 27

    😂 apparently there is another "Travis" in the rstats twitterverse with a dog profile photo (if you're at the conference we should totally meet!) At least she didn't mistake me for Travis CI.

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  16. Jan 27

    Day 1 and already achieved highlight: finally got to meet the greatest data science twitterer out there, , and she greeted me with "you totally don't look like a dog!"

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  17. Jan 8

    I went to an NIH talk a couple years ago about the challenge of retaining data scientists in academic research. This right here 👇 is a prime example of why they're leaving.

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  18. Jan 8

    As someone who applies for NIH grants to fund new R packages (most of which do not get funded), I can say with high confidence I would be laughed out of study section if I proposed (critical) maintenance of any existing package that is widely used by NIH researchers.

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  19. Jan 8

    If you are aware of central pieces of open source infrastructure that were kick-started by a grant, please let me know, as I’m quite curious to see their development."

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  20. Jan 8

    Callout to here: "[none of] numpy, matplotlib, pandas, scipy, scikit-learn, scikit-image … were started by grants. From my conversations with people in the R community, my understanding was that the situation there is similar...

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  21. Jan 8

    🔥🔥🔥 “How many software packages that are central to science were made as a result of grants? I hope (and imagine) the answer is not zero, but I am not familiar with any examples.”

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