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tansey

HN member
Joined
Tue, Apr 20, 2010, 2:53 PM UTC
HN karma
4,193
Public activity
533 items

About tansey

wes.tansey@gmail.com

Asst. Prof in Computational Oncology at Memorial Sloan Kettering Cancer Center. PhD in CS from UT Austin.

Bio: http://wesleytansey.com

Github: https://github.com/tansey

Twitter: http://twitter.com/#!/wesleytansey

Happy to talk with anyone-- email me! :) http://hnofficehours.com/profile/tansey/

Recent public activity

  1. comment
    Comment #49112967

    Academic here. It's actually great for us. You're usually the first to see the implications for your niche area and have a chance to get a hot paper out rather than a moderately im…

  2. comment
    Comment #48108907

    The fed tracks this data: https://fred.stlouisfed.org/series/APU0000709112

  3. comment
    Comment #46819790

    Somebody has to pay for the trial. Drugs are expensive and the amount needed to dose a single person is orders of magnitude more than mice. So who funds the study? If it's the gove…

  4. comment
    Comment #46819715

    Somewhere between $500K and $2M for an mRNA vax is my guesstimate. You don't have to hypothesize about what the rich might do, though. The co-founder of GitLab was diagnosed with o…

  5. comment
    Comment #46814790

    For all the folks complaining about "it's only in mice! things never work in humans!" -- I work at MSK and we definitely have seen success treating PDAC in humans: https://www.natu…

  6. comment
    Comment #30622513

    PI at a cancer center here. These two ideas are not mutually exclusive. Cancer is indeed not 1 disease but many countless ones. At the same time, cancer diagnoses are based on site…

  7. comment
    Comment #26972723

    > Sugar basically doesn’t exist in nature without fiber Honey?

  8. comment
    Comment #22795165

    It's political news: https://news.ycombinator.com/newsguidelines.html "Off-Topic: Most stories about politics, or crime, or sports, unless they're evidence of some interesting new …

  9. comment
    Comment #21943686

    Here goes nothing: - bio startups rise, ag tech startups rise, food startups rise-- everything to do with engineering life. - second and third tier cities rise in the US while firs…

  10. comment
    Comment #21909215

    The type of quants talked about in this article probably has a PhD in math, stats, CS (with a focus on machine learning), or something similar.

  11. comment
    Comment #21909208

    Yes. Exactly this. Building models that assess risks and potential gains. A quant is a catch-all term though, so one person may be working on models that predict some sector of the…

  12. comment
    Comment #16549007

    This is why people do twin studies. Orphaned twins that were separated at birth are as close to a natural instrument as one could ever hope to get.

  13. comment
    Comment #16548749

    You can if it's defective: https://en.wikipedia.org/wiki/Lemon_law

  14. comment
    Comment #16185459

    The problem with the idea of cheap screening tools is Bayes' theorem. If doctors go ordering this for most people since it's just a blood test, and if only 1% of people ever really…

  15. comment
    Comment #13631018

    Except it seems there is good case law to show that in fact suspected cannot be forced to open a combination lock, as it falls under fifth amendment protection. They can, however, …

  16. comment
    Comment #13463775

    The usual way they reduce variance in these man vs. machine poker showdowns is to do "pairs" play. You have two humans playing simultaneously in isolated locations. The decks for b…

  17. comment
    Comment #13055811

    Educate them to do... what, exactly? What could Uber do with two million mostly-uneducated truck drivers that are scattered all through out the country? Most do not want to move, d…

  18. comment
    Comment #12774780

    Stan ( http://mc-stan.org/documentation/ ) is arguably the most advanced language. It's especially pushing the bounds of doing automatic variational inference, for the scenario whe…

  19. comment
    Comment #12134346

    > The data is useless unless it is annotated (e.g. a human labels where the lanes are, where the obstacles are, what the bicylist is doing, etc.) - that's the bottleneck, not colle…

  20. comment
    Comment #12067128

    Not sure what the source is on that chart, but I'll assume it's credible. If that's the case, then despite what the article says, it's hard to believe that most of this decline is …

  21. comment
    Comment #12033451

    It's not that much data. You're storing about 2M voxel image every 2s or so. There are open repositories out there already: https://openfmri.org/

  22. comment
    Comment #11994543

    Most (good) encryption schemes have the property that knowing part of the message, or some other information like message length, will not help you decrypt the message.

  23. comment
    Comment #11981332

    I guess I don't understand what is really novel about this. Don't brands like Digiorno and Freschetta already have highly-optimized pizza assembly lines? Is it really that hard to …

  24. comment
    Comment #11937673

    The contrastive divergence paper that Hinton published in 2006 definitely set the field off again. I remember entering grad school in 2010 and everyone was still really excited abo…

  25. comment
    Comment #11919405

    Isn't the labeling really tricky, though? In my limited experience, EHRs aren't usually setup to handle structured labeling of something like an image. There are lots of different …