Irene Chen

@irenetrampoline

Machine learning PhD student , studying healthcare and inequality. Previously ,

Cambridge, MA
irenechen.net
Vrijeme pridruživanja: travanj 2013.

Medijski sadržaj

  1. 13. sij

    "But too seldom is the question asked: how can AI help correct these disparities?" Hot off the press! Check out our new commentary "Treating Health Disparities with AI" w/ coauthors Shalmali Joshi +

    8 replies 55 proslijeđenih tweetova 149 korisnika označava da im se sviđa
  2. 10. sij

    The best time to water my plants was three weeks ago. The second best time is today

    34 korisnika označavaju da im se sviđa
  3. 2. pro 2019.

    An ML researcher, a clinician, an anthropologist, a bioethicist, and many others walk into a workshop. 🤪 Mad props to and for a brilliant Fairness in ML in Health meeting ✨ … – mjesto: Data & Society Research Institute

    , , i još njih 6
    9 proslijeđenih tweetova 56 korisnika označava da im se sviđa
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  4. 23. ruj 2019.

    Not only did pen a viral op-ed in () -- she's also written a transparent guide on landing an op-ed in a major publication 👏 V helpful for other tech experts with strong opinions seeking broader reach 🗣️

    2 proslijeđena tweeta 16 korisnika označava da im se sviđa
  5. 22. ruj 2019.

    Late to the party, but brilliant paper 🚀 from et al on rapid-cycle, randomized testing in health care operations. See also below thread from and on connections to reinforcement learning 🤖

    1 reply 1 proslijeđeni tweet 9 korisnika označava da im se sviđa
  6. 2. kol 2019.

    Returning for its fourth iteration! ML for Health workshop at is back, and call for papers is open. 💉🤖⚡️ Submissions due 9/9. Notifications by 9/30. Travel grants, formal proceedings option, kickass speakers, oh my!

    13 proslijeđenih tweetova 25 korisnika označava da im se sviđa
  7. 1. kol 2019.

    Thrilled to announce the first-ever Fair ML for Health workshop at , co-organized with ✨📈💙💉 Submission deadline 9/9. Notifications 9/23. Travel grants available. See you in Vancouver! Details at

    26 proslijeđenih tweetova 81 korisnik označava da mu se sviđa
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  8. 12. lip 2019.

    1) overfitting is surprisingly absent in ImageNet classifiers, but 2) distribution shift is the real threat moving forward. 🧐 Well-paced, dense, and magically still easy to follow talk from

    1 reply 28 korisnika označava da im se sviđa
  9. 12. lip 2019.

    In the market for interpretable 👀debugging for off-policy RL e.g. in healthcare? Try counterfactual rollouts. Fantastic talk by on work with – mjesto: Long Beach Convention & Entertainment Center

    1 reply 4 proslijeđena tweeta 24 korisnika označavaju da im se sviđa
  10. 10. lip 2019.

    Thankful for this tenacious community to kickoff — especially reminding us to celebrate the victories and support each other always ✨

    5 proslijeđenih tweetova 38 korisnika označava da im se sviđa
  11. 10. lip 2019.

    Comprehensive and clear👌 meta-learning tutorial by at . Slides avail at and online Q&A were answered live 🤩 – mjesto: Long Beach Convention & Entertainment Center

    5 proslijeđenih tweetova 21 korisnik označava da mu se sviđa
  12. 28. svi 2019.

    Unanswerable questions from ML4H Unconference session on fairness that I led with the amazing

    1 reply 2 proslijeđena tweeta 17 korisnika označava da im se sviđa
  13. 28. svi 2019.

    Intentionally contentious debates 🤯 at ML4H Unconference: 1) Friends Don’t Let Friends Use Claims 2) Non-Causal Models are Fake 3) Structured Data is a Coded Lie 4) We Will Never Listen to the Robot Overlord

    8 proslijeđenih tweetova 51 korisnik označava da mu se sviđa
  14. 10. svi 2019.

    What do healthcare economists and ML researchers have in common? 1) big data, 2) treatment estimation, 3) model validation, and 4) LOTS of questions during talks. Thanks and for a great conference

    1 reply 2 proslijeđena tweeta 40 korisnika označava da im se sviđa
  15. 3. svi 2019.

    Behold the future of machine learning and healthcare! What a great first MIT ML+healthcare happy hour ✨ – mjesto: The Muddy Charles

    , , i još njih 5
    6 proslijeđenih tweetova 69 korisnika označava da im se sviđa
  16. 2. svi 2019.

    Q: How can ML researchers meaningfully engage with regulators like the FDA/IRBs and vice versa? A: Submit a public comment on new FDA ML regulatory framework Excellent guest lecture 🔥 from and – mjesto: MIT Building 4 (Maclaurin Buildings)

    1 reply 8 proslijeđenih tweetova 30 korisnika označava da im se sviđa
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  17. 25. tra 2019.

    Eagerly awaiting 's midnight announcement and meanwhile remembering the time I made a coding tutorial to analyze TS's lyrics:

    15 korisnika označava da im se sviđa
  18. 15. tra 2019.

    “If you are losing faith in human nature, go out and watch a marathon” -KS // Congrats to all the runners today, and thanks to everyone who made Marathon Monday possible! 🏃🏻‍♀️🙏🔥

    15 korisnika označava da im se sviđa
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  19. 8. tra 2019.

    Yet another opportunity for FREE machine learning help for Boston area clinicians -- staffed by students from MIT's MLHC class. This Thursday 5:30pm-7:30pm at 32-D463 on MIT campus

    9 proslijeđenih tweetova 20 korisnika označava da im se sviđa
  20. 14. velj 2019.

    How can we risk assess for psychiatric inpatient readmission? bringing in clinical expertise to our MLHC class! – mjesto: MIT Building 4 (Maclaurin Buildings)

    2 proslijeđena tweeta 24 korisnika označavaju da im se sviđa
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