Phil (Phil Fradkin) and I will be presenting Orthrus (biorxiv.org/content/10.110…) as a spotlight poster at the Workshop on AI for New Drug Modalities at #NeurIPS2024! Our poster will be up starting 11:40AM in West Meeting Room 109, 110. Excited to be sharing some new results!

finally, wind is changing its direction: causal inference becomes easier if we give up on designing a new estimation algorithm ourselves (i don't think we've evolved to do so ourselves well.) let learning find one for you!

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning: arxiv.org/abs/2506.07918

(1/5) 👑 New Discrete Diffusion Model — MDM-Prime Why restrict tokens to just masked or unmasked in masked diffusion models (MDM)? We introduce MDM-Prime, a generalized MDM framework that enables partially unmasked tokens during sampling. ✅ Fine-grained denoising ✅ Better

We red-teamed modern LLMs with practicing clinicians using real clinical scenarios. The LLMs: ✅ Made up lab test scores ✅ Gave bad surgical advice ✅ Claimed two identical X-rays looked different Here’s what this means for LLMs in healthcare. 📄 arxiv.org/abs/2505.00467 🧵 (1/)

1/7 🚀 Thrilled to announce that our paper ExOSITO: Explainable Off-Policy Learning with Side Information for ICU Lab Test Orders has been accepted to #CHIL2025! Please feel free to come by my poster session this Thursday to chat. #MedAI #HealthcareAI

The twelve-day war has ended — or at least, for now it seems so. Given the level of extremism on both sides, it’s an optimistic hope that it won’t repeat. When the war started, I was overwhelmed with strange and heavy emotions. One piece of bad news after another, one worry

1/10 🧵 LLMs can translate knowledge into informative prior distributions for predictive tasks. In our #ICML2025 paper, we introduce AutoElicit, a method for using LLMs to elicit expert priors for probabilistic models and evaluate the approach on healthcare tasks.

Blank Bio (Blank Bio) is building foundation models to power a computational toolkit for RNA therapeutics, starting with mRNA design and expanding to target ID, biomarker discovery, and more. ycombinator.com/launches/O8Z-b… Congrats on the launch, Jonny, Phil Fradkin & Ian Shi!

The news is out! We're starting Blank Bio to build a computational toolkit assisted with RNA foundation models. If you want to see my flip between being eerily still and overly animated check out the video below! The core hypothesis is that RNA is the most customizable molecule

Le Vector Institute a permis au Canada de se positionner comme un leader mondial de l'IA.  Dans le Budget 2025, nous investissons pour recruter au Canada plus de mille autres chercheurs et innovateurs de classe mondiale pour catalyser des investissements et faire croître l’économie.

The Vector Institute has helped massively to put Canada on the map as a global leader in AI.  In Budget 2025, we’re investing big to recruit over a thousand more world-class researchers and innovators like them to Canada — to calatyse more investment and grow our economy.