iiinova — where your digital self keeps evolving

Irene Chen @irenetrampoline.bsky.social · 12/05/2025

What happens in SAIL 2025 stays in SAIL 2025 -- except for these anonymized hot takes! 🔥 Jotted down 17 de-identified quotes on AI and medicine from medical executives, journal editors, and academics in off-the-record discussions in Puerto Rico irenechen.net/sail2025/

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Reposted by Irene Chen

Colleen Chien @colleenchien.bsky.social · 04/04/2025

We've launched a biweekly AI & Society salon at Berkeley w/ @rajiinio.bsky.social & @irenetrampoline.bsky.social! This week, sociologist marionf.bsky.social joined EECS’ beenwrekt.bsky.social to discuss The Ordinal Society. Up next, on April 16th: AI & Education. Join us at ai-and-society.github.io

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Irene Chen @irenetrampoline.bsky.social · 27/02/2025

AI deployments in health are often understudied because they require time and careful analysis.⌛️🤔 We share thoughts in @ai.nejm.org about a recent AI tool for emergency dept triage that: 1) improves wait times and fairness (!), and 2) helps nurses unevenly based on triage ability

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Irene Chen @irenetrampoline.bsky.social · 20/12/2024

How do disparities in healthcare access affect ML models? 💰📉🧐 We found that low access to care -> worse EHR data quality -> worse ML performance in a dataset of 134k patients. Work with Anna Zink (on the faculty job market rn!) + Hongzhou Luan, presented at #ML4H2024

Bar chart of different barriers to healthcare

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Irene Chen @irenetrampoline.bsky.social · 17/12/2024

It's giving Best Paper at the ML for Health Symposium (co-located w NeurIPS)!! 🥳 Congrats to co-authors Emily, Jin, and many others 👏. Check out our work using LLMs to understand liver transplants, esp understudied social and economic factors 🏥💰🏠! #ml4h2024 arxiv.org/pdf/2412.07924

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Irene Chen @irenetrampoline.bsky.social · 12/12/2024

This year our CHEN lab holiday party featured cookie decorating! 🎄 Grateful to have such creative and inspiring students and collaborators. 🥰 Can you spot all of the ML-related cookies? 📈

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Irene Chen @irenetrampoline.bsky.social · 18/11/2024

Important caveats: 1) Very small sample size (6 medical cases) -> p=0.03 which is kinda sus, 2) human physicians in study had only 3 yrs of training, 3) no nuance of how to use LLMs for diag reasoning: clinical notes != clean cases; paper does not engage with this.

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Irene Chen @irenetrampoline.bsky.social · 15/11/2024

What do it mean to be a “low resourced” language? I’ve seen definitions for less training data to low number of speakers. Great to see this important clarifying work at #EMNLP2024 from @hellinanigatu.bsky.social et al aclanthology.org/2024.emnlp-m...

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Irene Chen @irenetrampoline.bsky.social · 15/11/2024

Informative recap of EMNLP papers related to multilingual models and low resource languages! Thanks @catherinearnett.bsky.social

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Irene Chen @irenetrampoline.bsky.social · 14/11/2024

Fairness definitions differ across groups! For white respondents, fairness = "proximity'' to assigned school. For Hispanic or Latino parents, fairness = "same rules'' for everyone. Cool work by @nilou.bsky.social + students

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Irene Chen @irenetrampoline.bsky.social · 14/11/2024

Summary of #AMIA2024 presentations related to health equity and algorithmic fairness! Thanks for pulling together @alyssapradhan.bsky.social

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Irene Chen @irenetrampoline.bsky.social · 13/11/2024

If you trained 10 models and they had a huge variance on predictions for you, would you have any faith in the model? Enjoyed this paper defining self-consistency -- and showing enforcing that makes models more fair! Cool AAAI24 paper from A. Feder Cooper et al. katelee168.github.io/pdfs/arbitra...

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Irene Chen @irenetrampoline.bsky.social · 12/11/2024

12 hours later, I've realized how much I've been missing a place like OldTwitter where you can share candid thoughts on research without bots clogging up the feed. Thanks Bluesky 💙

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Irene Chen @irenetrampoline.bsky.social · 12/11/2024

Giving a talk tomorrow 11:40am PT at the Simons Domain Adaptation Workshop. I'll be speaking about our recent paper on the Data Addition Dilemma! Catch the talk on live-stream or recorded afterwards Paper: arxiv.org/pdf/2408.04154 Workshop: simons.berkeley.edu/workshops/do...

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Irene Chen @irenetrampoline.bsky.social · 12/11/2024

Creative AIES 2024 paper by andreawwenyi.bsky.social that uses NLP to help uncover gender bias for men/women defendants. Legal experts used NLP to build consensus and evidence on annotation rules. Could have relevant tie-ins to healthcare and bias in clinical notes

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Irene Chen @irenetrampoline.bsky.social · 12/11/2024

First post! I'm recruiting PhD students this PhD admission cycle who want to work on: a) impactful ML methods for healthcare 🤖, b) computational methods to improve health equity ⚖️, or c) AI for women's health or climate health 🤰🌎 Apply via UC Berkeley CPH or EECS (AI-H) 🌉. irenechen.net/join-lab/

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