Julius Upmeier zu Belzen

@juluzb

Studying Bioinformatics in Heidelberg. Working on machine learning for digital health in Berlin.

Vrijeme pridruživanja: veljača 2017.

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    9. pro 2019.

    Very happy for the efforts of and and also an awesome collaboration with ! Looking forward for the next chapters!

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  2. 2. pro 2019.

    Glad to be a part of this great project! I learned a lot and had a great time working on this with and in Lausanne , and with and in Heidelberg .

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  3. 17. stu 2019.

    Of course, this work was only possible with my amazing colleagues and friends , , , et al., with whom this originated as 2017.

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  4. 17. stu 2019.

    If you are curious how we can learn from learning algorithms, check out our original publication on this work (), or the press release for a brief overview and reach out with your questions and ideas [PDB 2ZWV]

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  5. 17. stu 2019.

    Finally, I went to the Adlershofer Forschungsforum, where I presented a last time, and got to learn more about the and a lot more. Thanks for the invitation and ! [Image rights: IGAFA, Matthias Brandt]

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  6. 17. stu 2019.

    I might be biased here (needing labelled data for my work), but this truly is a great one: Mariëlle van Kooten breaking the wall of unlabelled data with SciSwipe

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  7. 17. stu 2019.

    This was followed by the Lab at the amazing . Thanks for coming to Berlin and sharing your amazing work, fellow labsters 🦞! I was so fortunate to contribute these 3 minutes:

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  8. 17. stu 2019.

    First at the Future Medicine Conference co-hosted by and , where I gave a short talk and met the fantastic , a pioneer in telemedicine, see (german, €) [Image rights: Tagesspiegel]

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  9. 17. stu 2019.

    What a ! I had the great opportunity to participate in all kinds of inspiring events – and would like to thank everybody who made this possible! I presented on how we can learn from learning algorithms in biomedicine and learned a lot myself - a (late) thread

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    11. stu 2019.

    How an afternoon can nonchalantly come along surprisingly stimulating: er Forschungsforum with inspiring talks/posters of young scientists: , + >5 posters of our own . !

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    Julius Valten Upmeier zu Belzen explains how we can learn from with Insights on . – mjesto: Kosmos

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    7. stu 2019.

    “Learning from learning algorithms — new insights on protein biology”, v nice talk by my friend and colleague on at , precisely 2 years !

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    80 top from leading Berlin institutions and international partners present cutting-edge and give an insight into their work in short 3-min talks. Where? At w/ 👉

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    What is the future of AI? 3 Finalists answer 3 questions in anticipation of their participation in the Falling Walls Lab Finale next Friday, 8 November 2019 at the ! Read the full interview here:

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    Part of the answer to the challenges of the is . What chances and risks do have for ? Find out at this year's w/ and . Register here:

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  16. 26. lis 2019.

    Off to Berlin for two weeks full of great conferences and ! I‘ll speak about explainable AI in biology for three minutes each at Lab, the Future Medicine Conference and Adlershofer Forschungsforum .

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    What does the future of look like? What’s trending in ? Find out at the fourth with outstanding featured by and . Register now:

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    Herzlichen Glückwunsch!! Julius Upmeier zu Belzen vom Digital Health Center des BIH ist Gewinner des Falling Walls Lab Adlershof 2019

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    Please spread the word and celebrate science with us and our partners! The full programme of is online now – containing over 130 events across the city between 1 and 10 November!

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  20. proslijedio/la je Tweet
    27. ruj 2019.

    ⁦⁦⁩ Lab in ⁩ Präsident & ⁦⁩ Chef ⁦⁩ kürt die Sieger. Ins Finale am 8.11. zieht Julius Upmeier zu Belzen mit Breaking the wall of black boxes in biomedical AI ⁦Glückwunsch! ⁦

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