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sidhikabalachandar.bsky.social

@sidhikabalachandar.bsky.social
49 followers 363 following 14 posts
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Erica Chiang @ericachiang.bsky.social · 19/08/2026
Thanks to Grace Stanley for covering our work :) Our paper on personalized recommendations for students applying to NYC high schools (best student paper at EC ’26(!!)) is coming soon! Here's a quick preview... (1/5) news.cornell.edu/stories/2026...
t.co
https://news.cornell.edu/stories/2026/08/research-helps-nyc-students-aim-higher-public-high-school-applications
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Kenny Peng @kennypeng.bsky.social · 18/08/2026
New York City 8th graders choose from 900+ high schools to apply to, in a process that’s spawned Facebook groups and dozens of expensive consulting services. Our new paper shows how application behavior leads to disparities, and how to effectively intervene. 🧵 www.nature.com/articles/s44...
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Kenny Peng @kennypeng.bsky.social · 15/04/2026
🧵 On social media, we feel trapped in “filter bubbles” and “echo chambers.” Often, we see this as a problem with the algorithm. Our new essay argues the problem is the feed interface itself: it constrains our movement—all we can do is scroll. We lay out an alternative vision:
leaflet.pub
From Feeds to Trails
To design the future of social media, rethink the interface before the algorithm.
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sidhikabalachandar.bsky.social @sidhikabalachandar.bsky.social · 23/03/2026
Check out our new comment in Nature Health (co-led with the amazing @dmshanmugam.bsky.social)! We ask how should we remove race from clinical algorithms? We argue that it is feasible, but only with careful evaluation and broader systemic change.
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Kenny Peng @kennypeng.bsky.social · 17/02/2026
New paper! The Linear Representation Hypothesis is a powerful intuition for how language models work, but lacks formalization. We give a mathematical framework in which we can ask and answer a basic question: how many features can be stored under the hypothesis? 🧵 arxiv.org/abs/2602.11246
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sidhikabalachandar.bsky.social @sidhikabalachandar.bsky.social · 20/01/2026
Check out our new paper at #AAAI 2026! I’ll be presenting in Singapore at Saturday’s poster session (12–2pm). This is joint work with @shuvoms.bsky.social, @bergerlab.bsky.social, @emmapierson.bsky.social, and @nkgarg.bsky.social. 1/9
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Divya Shanmugam @dmshanmugam.bsky.social · 14/10/2025
I am on the job market this year! My research advances methods for reliable machine learning from real-world data, with a focus on healthcare. Happy to chat if this is of interest to you or your department/team.
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Erica Chiang @ericachiang.bsky.social · 01/05/2025
I’m really excited to share the first paper of my PhD, “Learning Disease Progression Models That Capture Health Disparities” (accepted at #CHIL2025)! ✨ 1/ 📄: arxiv.org/abs/2412.16406
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Kenny Peng @kennypeng.bsky.social · 02/04/2025
Our lab had a #dogathon 🐕 yesterday where we analyzed NYC Open Data on dog licenses. We learned a lot of dog facts, which I’ll share in this thread 🧵 1) Geospatial trends: Cavalier King Charles Spaniels are common in Manhattan; the opposite is true for Yorkshire Terriers.
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Gabriel Agostini @gsagostini.bsky.social · 28/03/2025
Migration data lets us study responses to environmental disasters, social change patterns, policy impacts, etc. But public data is too coarse, obscuring these important phenomena! We build MIGRATE: a dataset of yearly flows between 47 billion pairs of US Census Block Groups. 1/5
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Sophie Greenwood @sjgreenwood.bsky.social · 10/03/2025
Please repost to get the word out! @nkgarg.bsky.social and I are excited to present a personalized feed for academics! It shows posts about papers from accounts you’re following bsky.app/profile/pape...
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sidhikabalachandar.bsky.social @sidhikabalachandar.bsky.social · 14/12/2023
Check out our new paper, which we’ll present as a spotlight talk at NeurIPS DistShift. This is joint work with @NikhGarg and @2plus2make5. 1/N
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