Allen School

@uwcse

The Paul G. Allen School of Computer Science & Engineering educates tomorrow's innovators while developing solutions to humanity's greatest challenges.

Seattle, Washington, USA
Joined May 2009

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  1. Jan 30

    CORRECTION: Original paper published in Nature Communications. Related article published on the Nature Research Bioengineering Community site.😳

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  2. Retweeted
    Jan 30

    Our papers on exploring the limits of PCR-based retrieval of DNA data storage. Awesome work by and several members. Polymerases are hero molecules!

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  3. Jan 30

    The results from show how far we have come in the quest to create a DNA-based system for storing digital data. A related piece by 's explores the team's approach and what their work means for future research: 2/2

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  4. Jan 30

    Probing the physical limits of DNA data retrieval: A new paper in Bioengineering from & @MicrosoftResearch describes how to achieve reliable file recovery using PCR random access with as few as 10 copies stored in synthetic DNA: 1/2

    Closeup of pencil tip next to test tube containing colored dot of DNA material. Credit: Tara Brown Photography
    , , and 2 others
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  5. Jan 29

    The organizers of 's SOCC 2019 took a systematic approach to diversity & inclusion. director Magdalena Balazinska and her colleagues share lessons learned and ideas for making academic research conferences welcoming to all:

    Photo of Magdalena Balazinska with quote: "Being mindful of diverse attendee needs required moderate work and a moderate investment but it made a world of difference."
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  6. Jan 28

    Read more about their research, which was published in 𝗡𝗮𝘁𝘂𝗿𝗲 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗥𝗲𝗽𝗼𝗿𝘁𝘀, on our blog: (3/3)

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  7. Jan 28

    The Virtual Chinrest gives researchers using sites like , more control of the experiment, while allowing anyone with access to the internet to participate. (2/3)

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  8. Jan 28

    A team of researchers led by professor Katharina Reinecke and created a tool to allow a more diverse pool of behavioral studies participants. (1/3)

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  9. Retweeted
    Jan 23

    TreeExplainer is published as a cover article of the January issue of Nature Machine Intelligence. Congratulations, Scott, Gabe, Hugh, and Alex!

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  10. Retweeted
    Jan 21

    Join us tomorrow for a Data Science for the Social Good information session. Make a positive impact this summer!

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  11. Jan 21
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  12. Jan 21

    ’s latest undergrad spotlight features Noelle Merclich, a student who works hard to introduce middle and high schoolers to computer science and to give incoming students a great first year experience. (1/2)

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  13. Retweeted
    Jan 21

    Beware of emails asking for your UW NetID and password to gain access to W-2 information.

    a username and password form on a hook while fish swim around it
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  14. Retweeted
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  15. Jan 17

    "From local explanations to global understanding with explainable AI for trees" , by researchers , , Alex DeGrave, , Bala Nair, Ronit Katz, , , (4/4)

    Nature Machine Intelligence TreeExplainer cover image
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  16. Jan 17

    TreeExplainer, which is rooted in game theory, can provide a global view of the dependency of certain patient risk factors while highlighting variabilities in individual risk. (3/4)

    Diagram of TreeExplainer local explanation
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  17. Jan 17

    Many of these models are “black box” models, offering predictions without explaining how they arrived at their results. This is problematic in medicine, where patterns and individual variability that the model might uncover can be as important as the prediction itself. (2/4)

    Diagram of "black box" model prediction
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  18. Jan 17

    Explainable for medicine: In a new paper published in , AIMS Lab & researchers present TreeExplainer, a set of tools for computing optimal local explanations for tree-based predictive machine learning models: (1/4)

    Headshots of Allen School AIMS Lab researchers
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  19. Jan 16

    Check out this nice article on 's , featuring & : Innovating games to maximize human potential and further scientific research via

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  20. Jan 16

    Can’t join us in person? Catch the live stream on our YouTube channel: (4/4)

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