Irene Chen

@irenetrampoline

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

Cambridge, MA
Vrijeme pridruživanja: travanj 2013.

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  1. Prikvačeni tweet
    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 +

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  2. proslijedio/la je Tweet
    1. velj

    The application for organizers for workshop events at NeurIPS, ICML, and other small events at ICLR, COLT, and CoRL is live! Due 2/14 AoE. Share with anyone that you might think would be interested:

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  3. proslijedio/la je Tweet
    22. sij

    Patients and scientists: THIS IS NOT A DRILL. The White House is considering requiring open access to all taxpayer-funded research. Please sign to let The White House know that you strongly support this transformational initiative:

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  4. proslijedio/la je Tweet
    27. sij

    Inspiring indeed! “the writing style of scientific papers inadvertently contributes to the problem of jargon abuse because it is designed to highlight and convey novelty... Summarizing a paper in your own words restructures the content to focus on learning rather than novelty.”

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  5. proslijedio/la je Tweet
    25. sij

    This semester I'm teaching a new PhD course "Economics, AI, and Optimization." I'll be covering how AI/Opt methods enable large-scale economic solution concepts. I'm planning to share lectures notes that I hope will be of broader interest.

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  6. proslijedio/la je Tweet
    23. sij

    Announcing new medical imaging dataset for an important clinical use case - and our first for ultrasound/ cardiac echo. Hope this release will help ML researchers engage in medical applications and improve diagnostics for patients worldwide. More to come in 2020 🤖

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  7. proslijedio/la je Tweet
    21. sij

    I have post-doc openings in my lab. Do you want to use empirical methods, design experiments, and collaborate with both large and small tech firms for research and social impact? Have interest in ed tech, fin tech, charitable giving, and social sector effectiveness? Apply! 1/3

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  8. proslijedio/la je Tweet
    21. sij
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  9. proslijedio/la je Tweet
    20. sij

    wow I broke 1k here's the best advice I've ever been given (by an economist, no less): there are no good counterfactuals for your own life. you will never know how anything would have gone otherwise it's YOLO + causal inference <3

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  10. 16. sij

    Only 2.5 percent of Google’s workforce is black, while Facebook and Microsoft are each at 4 percent. Powerful article about Atlanta, black AI talent, and how we can rethink retention/recruitment. Great work

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  11. 10. sij

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

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  12. 7. sij

    6 is a perfect number, meaning the divisors sum to the number. Also the number of days until the ACM CHIL (conference on health, inference, learning) paper deadline! ✨

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  13. proslijedio/la je Tweet

    I love ’s point: it is so important to evaluate the robustness of our prior models. We need this for in medicine!

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  14. proslijedio/la je Tweet

    's work at is building upon their prior paper published in Scientific Reports on Learning Health Knowledge Graphs from Electronic Health Record data.

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  15. proslijedio/la je Tweet
    3. sij

    This is your 10 day reminder! Send your work at the interface of machine learning and healthcare to CHIL 2020 by January 13th. We have four tracks spanning machine learning, health policy, and practice. For more details, check out:

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  16. proslijedio/la je Tweet
    28. pro 2019.

    I'm sure everyone saw this live on C-SPAN 2 just now, so there is hardly a need to point it out. But in case a few of you were watching C-SPAN 1 instead, check on and me talking about the Ethical Algorithm on BookTV:

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  17. proslijedio/la je Tweet
    27. pro 2019.

    Earlier this month, I went to at NeurIPS. The talks were recorded, which is amazing. But I know you aren't going to watch 6 hours of video. Maybe you'll read 40 minutes of summary, though!

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  18. proslijedio/la je Tweet
    19. pro 2019.

    1/ Neural networks are Gaussian Processes --- the Poster Edition from last week. In case you missed it, here’s a twitter version of the poster presentation, following the format of ; and here’s the previous tweet thread

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  19. proslijedio/la je Tweet
    21. pro 2019.

    The NYTimes has been doing a great series about the kind of fine-grained "anonymized" location data that is available for sale from data brokers, collected from apps with lax privacy permissions that millions of people have installed on their phones. 1/

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  20. proslijedio/la je Tweet

    Joelle Pineau is leading an effort to encourage artificial-intelligence researchers to open up their code.

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