Artem Kaznatcheev

@kaznatcheev

Use cancer to know biology. View learning & evolution + philosophy of sci through the algorithmic lens. Blogger at TheEGG. DPhil at Oxford CS. On the job market

Oxford, England
Joined August 2016

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  1. Pinned Tweet
    5 Mar 2019

    Local peaks can't always be found quickly! Hard landscapes are subject to ultimate constraint on evolution: computation. Can hide winding paths. My path to this paper has been very long: ~7 years in the making. It finally found its peak in .

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  2. Retweeted
    6 hours ago

    Anyone know of resources/strategies for mentoring advanced grad students/postdocs through the process of navigating an interdisciplinary academic career? I'm trying to figure out what it would look like to design some, but if someone else already has, so much the better!

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  3. Retweeted
    9 hours ago

    I told my kid (who’d asked about absolute value signs) “They’re just like parentheses so there’s never any ambiguity,” but then I realized that things are more complicated; for instance |-1|-2|-3| could be 5 or -5. Has anyone encountered ambiguities like this in the wild?

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  4. Nice way to highlight & disorient 'benign' parts surveillance capitalism: walked around Berlin w/ wagon full of 99 smartphones running Google Maps thus creating 'traffic jams' & changing green streets to red: I feel might enjoy this

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  5. Jan 31

    This seems to have been inspired in part by Sarah B. Lawsky's view of law as algorithm. Which, once I heard about it, seems like such a worthwhile perspective worth the attention of theoretical computer science. Seems like a very interesting field that I need to read more about.

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  6. Jan 31

    Denis Merigoux made formal semantics for French tax code. He used automatic theorem prover to show tax code is sound and to allow using SMT queries to uncover unfair tax hikes: Will an algorithmic approach make tax law more accessible & scrutable?

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  7. Retweeted
    Jan 30

    Ian Hacking arrives at a party and says to the host "Look, I brought Champagne!" The host examines the bottle and sees it's not from the Champagne region of France, and says "that's not real Champagne". So Ian Hacking shakes up the bottle and sprays it all over the host

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  8. Retweeted
    Jan 30

    Forms like this = excellent! Asking a recommend-ee to fully write their own letter disadvantages those not comfortable unabashedly praising themselves (which often includes those from already-marginalized groups within a field/setting).

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  9. Jan 29

    This is how I feel about 'algorithmic'.

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  10. Retweeted
    Jan 28

    I was curious about what philosophers and scientists thought were the most important contributions of philosophy of science to working scientists and I stumbled upon this interesting oped in "Opinion: Why science needs philosophy" 1/n

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  11. Jan 28

    Sounds like I need to read Bickhard's "The Tragedy of Operationalism", since it would be nice to have some good arguments against one my favourite positions. After all, I don't want to be building careful effective theories in vain!

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  12. Retweeted
    Jan 28

    There was an interesting big question discussion about optimizing/equilibrium assumptions in math models (for tractability), bioengineering projects (as a goal), & theories about the real biological world. Do cells or anything in bio actually optimize?!

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  13. Retweeted
    9 Aug 2019

    I woke up in a cold sweat last night to create this content. I present: the Email Sign-off Alignment

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  14. Retweeted
    Jan 28
    Replying to

    steps for review 1. Read editors comments 2. sit on it for a week 3. reread editors note, then read the reviewers comments 4. wait 2-3 days 5. "rewrite" reviewers comments into an action list. what are the things you actually need to do? 6. do things on the list 7. write response

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  15. Jan 28

    Multiple realizability & context of nCov R0: "R0 estimates...in line with...other diseases; bigger R0 doesn’t necessarily mean a worse disease; R0 is an average; R0 is not easy to calculate; R0 is not some magical, immutable property of the virus; R0 is not destiny"

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  16. Retweeted
    Jan 27

    I used to be cynical about basic science helping people in the real world, but recent research with 2019-nCoV really changed my mind. People act so fast to analyze the genomes, the single cell RNA seq data, and are already expeirmenting with cells infected with the isolated virus

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  17. Retweeted
    Jan 27

    Imagine how much we could accomplish if we didn't spend so much time trying to get grants and sell ourselves. Imagine what we could do if dedicated research scientist positions were a thing: like postdocs but continuing positions that you could build a career and a life on.

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  18. Retweeted
    Jan 24
    Replying to

    Modeling is like a map. It is partial and incomplete. It has limited accuracy. It is purpose-relative.

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  19. Retweeted
    Jan 24

    "Ignore irrelevant details & represent only the key factors needed for our purposes. This is the critical realist view of models: a good model resembles reality, but it doesn’t capture all of it (...) if naive realism is a perfect picture then critical realism is a blurry one."

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  20. Retweeted
    Jan 24

    I'm thrilled to announce that I have accepted a postdoc position with Jake Scott () at the Cleveland Clinic Lerner Research Institute ! I'll be studying the evolution of resistance in both bacteria and cancer. I can't wait to get started!

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  21. Retweeted
    Jan 24

    Hi modelers, using an analogy can you express what modeling is to you? Give us your best analogies! Modeling is ...

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