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alkalait

HN member
Joined
Tue, Aug 11, 2015, 9:39 AM UTC
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Public activity
10 items

About alkalait

I'm a Machine Learning and Project Lead at the Frontier Development Lab US research accelerator, funded by NASA.

Until recently I was an Applied Research Scientist at Element AI in London, focusing on applications of ML and statistics that enable NGOs and nonprofits. I led the Super-Resolution research collaboration with Mila (Yoshua Bengio's lab), and was awarded by ESA for topping the PROBA-V Super-Resolution challenge.

I'm also a primary co-author of the first technical report written with Amnesty International, on the large-scale study of online abuse against women on Twitter.

Twitter: https://twitter.com/alkalait

Recent public activity

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    Comment #32749353

    Hello. I'd like to share here a potentially valuable resource for those looking to understand how AI is transforming remote sensing, or get into the field of Earth Observation. (Se…

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    Comment #23801669

    Last week I published this article on Amnesty International's blog, co-authored with Amnesty's human rights researchers. This is an example of AI helping to protect Human Rights. W…

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  7. comment
    Comment #13105711

    Getting the game state data means deciding a-priori what features the AI should learn on. The whole point of the deep learning paradigm is to allow a machine to learn such features…

  8. comment
    Comment #10757518

    I'm a bit familiar with PyMC, but all it seems to do is Gibbs sampling, which mixes horribly compared to HMC. How easy would the transition to PyStan be?

  9. comment
    Comment #10649400

    That's because most were toy examples dealing with discrete distributions in a few dimensions. Granted, these are mathematically easier to deal with, but not representative of real…

  10. comment
    Comment #10649370

    I enjoyed MMDS, but the lectures given by Ulman were painful to sit through. The man could simply not deliver a single sentence not read verbatim from a screen.