Intersectional/Interdisciplinary ML research @datascicolumbia. Physics PhD. Passionate about responsible, empowering, ethical tech. Always stay humble and kind.

Brooklyn, New York
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Happy to be in my favorite space at NeurIPS! To me, AI is political and my queerness is political and @QueerinAI holds space for me to embrace that rather than trying to suppress it. Beautiful discussions about community building in research and the world.
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Super excited for this panel discussion on one of my favorite topics: the role of world models in building AI (especially AI for science)!
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I’m heading to Vancouver for NeurIPS! I’ll be speaking at the ML4PS workshop, the Regulatable ML workshop, and the Symmetry and Geometry workshop! Will share more details but my favorite part is always chatting with folks so please hmu if you’d like to grab coffee or a drink!
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Replying to @Abebab
Congratulations!! I can’t wait to see the excellent work to come
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I'm speaking at three very exciting events this week! First up today, the Columbia and New York State Conference on Cyber Regulation and Harmonization at Columbia | SIPA. I'll be presenting our research using customized AI models to identify, extract, and categorize 1/
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Leaning into the Nobel Prize excitement, I'm very excited to share my new piece in Nature Reviews Physics @NatRevPhys exploring how physics data and approaches can help us develop more trustworthy AI (read for free here!) rdcu.be/dWfr3 1/
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In the paper I explore the ways field specific norms, the structure of academic science, publishing incentives, and industry funding and research structures impact the kinds of questions we ask, the results the value, and the way we communicate them in the AI research space.
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From the rest of the world is intellectually dishonest IMO.
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We do students a disservice when we pretend that science exists in some weird place outside of society and it’s not done by humans. That doesn’t mean you need to have a specific political agenda in your class but to imagine yourself, your classroom, and your students as divorced
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is not the same thing as preaching YOUR political opinions in class. Choosing to pretend that science does exist in a vacuum and you’re excused from acknowledging any other context because you consider yourself a purely technical person IS political.
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Replying to @mmbronstein
Respectfully, reminding your students that science doesn’t exist in a vacuum (it’s done, evaluated, funded, shared, and utilized by humans who do not function like robots and do have politics) and they should think about that that means for them, their work, and their communities
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Sweet interview with @NYASciences! So happy to be able to share my beliefs about the importance of REAL interdisciplinary collaborations for building actually beneficial and trustworthy AI nyas.org/ideas-insights/blog…
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Very excited to finally be putting my years of thoughts on the relationship between physical sciences, ai, and ethics into a real paper! It was great to finally get to publish with @AstroVivi and our other fab coauthors!
New Opinion article: @AstroVivi, @atmosbarnes, @DJGagneDos, @OceanCarbon and @BasicScienceSav discuss how a firm ethical basis for #ClimateAI increases explainability, robustness, and trustworthiness journals.plos.org/climate/ar… #EthicalAI @Climformatics @LeapStc @M2LInES @ai2enviro
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Excited for this years iteration with some exciting updates!
πŸŽ‰Great news! Our Machine Learning and the Physical Science workshop will be back again @NeurIPSConf. Keep an eye out for the call for papers, which will be a little earlier this year. ml4physicalsciences.github.i… #NeurIPS2024 #ML4PS2024 @ML4PhyS
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Replying to @import_robs
The slides are linked at the end of that treat, but unfortunately no recording :( I also have a paper in review about this now that I’d be happy to share a preprint of with you if you’d like!
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Wow thank you so much for the kind words, and again to the #EuCAIFCon organizers for inviting me to speak on this important subject that is core to so much of my research and scholarship!
The presentation at #EuCAIFCon 2024 I was most impressed by is @BasicScienceSav 's #AIEthics + #FundamentalPhysics. I'll borrow a couple of her powerful slides for this mini-thread πŸ™ She highlights #AI's problems with #Hype & #Reliabilty + the danger of treating AI as Magic 1/
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Beautiful, painful, and hopefully piece from one of my favorite writers, @annehelen! Science and humanities academia are different in some ways, but similar in so many. This is why I try to give my students the realistic advice that I never got. open.substack.com/pub/annehe…
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Replying to @soniajoseph_
Thank you for sharing your experience
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