Emily Alsentzer

Assistant Professor @Stanford in Biomedical Data Science and (by courtesy) CS. Trustworthy, deployable ML for healthcare. Prev @HarvardMed @mit_hst @MIT_CSAIL.

[chilconference @CHILconference]

Early bird registration for #CHIL2026 is open!

Join us June 28–30, 2026 at Seattle Children’s Research Institute for keynotes, research talks, posters, roundtables, the Doctoral Symposium, and more.

Use code EARLYBIRD26 through May 31.

Register: https://t.co/0jTn4YOIpW

[chilconference @CHILconference]

The Health AI Builders Unconference is back! 🙌

Join us on June 28th in Seattle, WA for a full day of exploring entrepreneurship in health AI. Join the waitlist: https://t.co/hCT1cDevCR

#CHIL2026 #HealthAI #Entrepreneurship #AIinHealthcare

[Emily Alsentzer @Emily_Alsentzer]

@DrMichelleMLi @CarnegieMellon @cmu_bme Congrats!!! You will be an amazing PI 😊

[chilconference @CHILconference]

June is going to be a busy month for Seattle 👀
CHIL, FIFA, and… 🥁

AHLI’s inaugural Health AI Summer Camp
📍 University of Washington
📅 June 22–28, 2026

Fully funded for accepted participants.

⏳Apply by April 15 (limited spots): https://t.co/Xk8Ua8fG6C

[chilconference @CHILconference]

The CHIL 2026 Doctoral Symposium is back! Apply by March 13th 📅
https://t.co/7VrDzore8s

Last year, we welcomed 28 outstanding PhD researchers for mentorship and lightning talks in health AI.
Watch 3 participant talks from 2025 👇 (see 2:48:43)
https://t.co/QElgXnRWDW

[chilconference @CHILconference]

Help us shape the conversation at CHIL 2026! We invite suggestions for Research Roundtable topics about controversial or open questions in machine learning for healthcare. Drop your suggestions here: https://t.co/Evo7SRcW4j

[chilconference @CHILconference]

Only 2 weeks left to submit to #CHIL2026! ⏳
https://t.co/Yv7EOH62Km

[chilconference @CHILconference]

Happy Holidays from AHLI! But first, a quick reminder:

📣 CHIL 2026 is coming to Seattle, June 28-30th.
📝 Submission site is now open!
⏰ Deadline: Feb 4, 2026
🤝 Sponsorship opportunities available
🌎 Request an invitation letter for visa applications

https://t.co/DEutUucFZr

[ML4H @SymposiumML4H]

Where should we host next year's symposium? Please let us know by filling in our feedback form or commenting below:

#ML4H2025

[Emily Alsentzer @Emily_Alsentzer]

Looking forward to @SymposiumML4H! The Alsentzer Lab just turned 1, & we’re celebrating with 4 papers on longitudinal EHR QA eval, LLMs for rare disease diagnosis, prior-chat bias in LLMs, & inference-time merging of general+clinical models.

We’re recruiting postdocs-Let’s chat!

[Aishwarya Mandyam @Aishwarya_R_M]

✨I'm on the research scientist and postdoc job market! I'll be graduating from my PhD this academic year with a thesis that focuses on reinforcement learning and healthcare. ✨

[Aishwarya Mandyam @Aishwarya_R_M]

I'll also be presenting some new work at ML4H (https://t.co/cnuuixyhyd) which focuses on building synthetic datasets for off-policy evaluation in healthcare.

[DBMI at Harvard Med @HarvardDBMI]

CALL FOR ABSTRACTS | SAIL 2026 on May 5–8 in Río Grande, Puerto Rico! In-person attendance limited to those with accepted work. Apply by 1/16/26. Oral presentation invitations & @NEJM_AI-sponsored travel awards go to the top abstract submissions. #SAILhealth26 - https://t.co/qYEVM7PdR1

[Isaac Kohane @zakkohane]

IFF you: @stanford student
Want: Publish your study in NEJM AI
Free: November 18th at noon PST
DO: contact me at [email protected]
Me: Buy you coffee/refreshment while you pitch the study.

[chilconference @CHILconference]

📣 Announcing the 7th Annual Conference on Health, Inference, and Learning (CHIL) happening June 28-30, 2026 in Seattle, WA!

👉 Call for Papers is up at https://t.co/8Pp68WYlLV...

⏳ Submit by February 4, 2026

[Alyssa Unell @AlyssaUnell]

Super excited that our work with TIMER has been published in npj Digital Medicine! We explore the role of temporal bias in both clinician and synthetically generated data-- showing current benchmarks don't evaluate models across the full input context of a patient's record.

[Isaac Kohane @zakkohane]

Excellent, entertaining and educational Year in Review for Clinical AI @NEJM_AI https://t.co/dsczPAAPyh Kudos @PierreEliasMD @Emily_Alsentzer

[Divya Shanmugam @dmshanmugam]

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.

[Irene Chen @irenetrampoline]

Traditional ML fairness audits don't work in the LLM era, eg medical LLMs may have eq treatment rec rates across groups (seemingly good!) but differ in empathetic vs dismissive phrasing (bad!). Also what do "groups" even mean now?

New NEJM AI piece w @Emily_Alsentzer out today

[Emily Alsentzer @Emily_Alsentzer]

We show how to apply these guidelines to two deployed use cases:
• Drafting replies to patient messages
• Mental health chatbots

Full paper: https://t.co/e7ITPatMzL
Had a great time collaborating with the incredible @irenetrampoline on this!

[Emily Alsentzer @Emily_Alsentzer]

🚨 LLMs are rapidly entering the clinic - ambient documentation tools are now deployed at most major hospital systems, and Epic alone has dozens of LLM applications in development.

Yet we lack systematic ways to evaluate these *already deployed models* for bias.

🧵

[Emily Alsentzer @Emily_Alsentzer]

We need:
• Clearer ways to define at-risk groups (e.g., looking beyond explicit demographics to groups inferred from input text)
• More comprehensive metrics (e.g., factuality, thoroughness, tone, tailoring to context, and stigmatization)