AI regulation has become a hot topic of debate in recent months. So, we decided to bring this conversation to #NeurIPS2023! Come join us at the #RegulatableML workshop! ⏰ 8:55am - 5:30pm, Saturday, Dec 15 📍 Room 215-216 🔗 regulatableml.github.io 📽️ neurips.cc/virtual/2023/w…

It was an absolute delight co-organizing ML4H 2023 with a stellar cast! 🏀 :slam dunk:

Looking for the right venue to showcase your groundbreaking research on AI/ML methods and applications in health settings? CHIL is the perfect platform! We solicit a diverse range of topics on ML/AI advancements in the health domain. ⚕️🧑‍💻🔍 Visit chilconference.org to submit

Our #CallForParticipation is out! Machine Learning for Health (ML4H) is back! It will be in-person in Vancouver, Canada on December 15 & 16, co-located with NeurIPS Conference Be sure to retweet and follow ML4H for more details! ahli.cc/ml4h/call-for-…

Proud PI moment! Harvineet Singh presents "A hierarchical decomposition for explaining ML performance discrepancies" at JSM! If you want to know why the performance of an ML model differs between two domains, check out our method here: arxiv.org/abs/2402.14254

👋I am on the academic job market, looking for tenure-track positions. I work on machine learning, decision making, and social aspects of AI. Let's get in touch if your institution is hiring! 💻stsirtsis.github.io 😀Shares are very much appreciated!

🪃 I'm on the academic job market! I study digital applications for work, focusing on mental well-being + social dynamics. My work merges AI, sensing, informatics, and organizational science to help workers work differently. Pls bump and keep an eye out: vedantswain.com

On this beautiful occasion of Diwali 🪔, I am happy to announce that our lab will recruit 1-2 PhD students in UVA School of Data Science for Fall 2025! Our group works on developing Scalable XAI and Trustworthy Algorithms for AI Alignment and Safety. Visit chirag-agarwall.github.io for

📢 Please retweet: We're recruiting PhD students at UC Berkeley and UCSF! Please apply if you are interests in machine learning for healthcare, statistics, causal inference, or medical vision-language models. For more details, check  out this link: forms.gle/9fbEw48Wqopdfe…

Doubly proud advisor moment at #AMIA2024 -- Harvineet Singh presents an explanation framework for understanding changes in a model's AUC across sites, and Avni Kothari describes how to leverage LLMs to inject clinical (Bayesian) priors into risk prediction models 1/2

I'm recruiting PhD students for Fall 2025! CS PhD Deadline: Dec. 15th. I work on safe/reliable ML and causal inference, motivated by healthcare applications. Beyond myself, Johns Hopkins has a rich community of folks doing similar work! Come join us!

That's a wrap on ML4H in Vancouver🎀 Onto the next AHLI conference with a message from CHIL 2025 General Chairs Matthew McDermott and Irene Chen 🇬🇧🍫💻🤠🌱 Submit your papers by Feb 10th at chil.ahli.cc #CHIL2025

A new review examines the design and performance of AI monitoring systems in clinical settings and introduces a structured road map to guide the development of effective and practical monitoring systems. Read the full article: nejm.ai/40J53KJ

🚨 Machine Learning for Health (ML4H) is back and better than ever! 🌴 Join us in San Diego on December 1–2, 2025, right before NeurIPS Conference! 📢 Call for Papers is LIVE → ahli.cc/ml4h/call-for-… ⏳ Deadline: Sept 8 — don’t miss it! 🔁 RT and follow ML4H for updates!

Excited to be presenting our work “Who experiences large model decay and why? A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift” at #ICML25. This was led by the wonderful ex-postdoc in our group Harvineet Singh! Please drop the Wed afternoon poster session

Highly recommend applying to the open roles and working with Jean! Lots of interesting research problems involving statistics, LLMs and causal inference, and impactful applications to monitoring AI for healthcare.

Looking for a motivated postdoc to join our team for research in multimodal foundation models for medicine! I'll be at #ACL2025 #ACL2025NLP, please reach if you you are interested in learning more! Details here: docit.ucsf.edu/news/were-hiri… UCSF DoC-IT UCSF Bakar Computational Health Sciences Institute UCSF Neurosurgery

🚨New JAMA Health Forum: We describe persistent performance drift, or post-deployment changes in performance, in a population #health algorithm widely-used in the Veterans Affairs, stemming in part from #COVID-related changes in utilization and outcomes -> pubmed.ncbi.nlm.nih.gov/40815520/

The Care Assessment Needs algorithm's performance declined from 2016 to 2021, marked by reduced positive predictive value and increased false positive rate. ja.ma/45Ag02m Ravi B. Parikh

📢Interested in developing statistical, causally-grounded methods for monitoring the clinical impact of AI medical devices like AI scribes? Postdoc position available at jeanfeng.com/joining Perks include access to hot-off-the-press AI scribe data! Please help spread the word!