Our lab is hiring an ML in health PhD/postdoc! This is for an applied causal ML project, with very close collaboration with our university hospital - see details here*: technionmail-my.sharepoint.com/:b:/g/personal… *due to the specific requirements of this position we need a fluent Hebrew speaker

Coming up next!

Excited to be moderating panel on generalization, scaling and safety at #icml2023 with great panelists Sam Bowman Zachary Lipton and @Maggiemakar. Look forward to seeing folks at 15:30 room 316 at Workshop on Spurious Correlations, Invariance and Stability.

Once more, in verbose mode: as of today I am an Assistant Professor Waterloo Engineering (ECE dept), and faculty affiliate Vector Institute and Schwartz Reisman Institute. Please help me get the word out - I will be hiring motivated students who want to study machine learning and its societal implications

Thank you European Research Council (ERC) for this amazing grant- I will work hard (with and without the algorithms’ help) on these topics for the next few years and would love to update you with exciting results soon.

a very interesting observation: all you need is perceptron 🤣 arxiv.org/abs/2308.12553 by aahlad puli Lily Zhang Yoav Wald & Rajesh Ranganath

Will your LLM model generalize over time or across sites? How do we improve robustness? This is a key issue LLMs struggle with and especially critical as we apply these models to healthcare applications. 👇 New clever technique to improve LLM robustness and generalization.

Multimodal representation learning works for 2 modalities, but what if you're working with 3+ modalities, like in healthcare, robotics, or video? 📢 Meet Symile: a model-agnostic contrastive loss for any number of modalities with CLIP's simplicity and superior performance✨ 1/n

I'm recruiting PhD students this cycle! My lab works at the intersection of information theory, cognition, language, and AI. Wanna hear more? I asked notebookLM to generate a podcast just for you (but pls take it with a big grain of salt...) youtu.be/9L04S4jvspI

Unpacking what's going on in our paper on Med-* foundation models & their failure to improve over their generic counterparts (think Med-{LLaMa, LLaVa} vs {LLaMa, LLaVa}. A familiar tale of motivated reasoning, sloppy eval, & hidden hyper-optimization. arxiv.org/abs/2411.04118

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!

What prompt generated the image on the right? Come find out today at our tutorial on OOD generalization: Shortcuts, Spuriousness, and Stability @Maggiemakar aahlad puli Panel: Elan Rosenfeld Aditi Raghunathan Danica Sutherland

Life update: I'm starting as faculty at Boston University in 2026! BU has SCHEMES for LM interpretability & analysis, so I couldn't be more pumped to join a burgeoning supergroup w/ Najoung Kim 🫠 Aaron Mueller. Looking for my first students, so apply and reach out!