Randomized trials (RCTs) help evaluate if deploying AI/ML systems actually improves outcomes (e.g., survival rates in a healthcare context). But AI/ML systems can change: Do we need a new RCT every time we update the model? Not necessarily, as we show in our UAI paper! arxiv.org/abs/2502.09467

In this conversation I have been endorsed as "twee" and "not a crank". BTW, I'm on the job market this year. If you are interested hiring an economist in macro/metrics/computational/ML with such stellar endorsements, please get in touch!

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!

Medically adapted foundation models (think Med-*) turn out to be more hot air than hot stuff. Correcting for fatal flaws in evaluation, the current crop are no better on balance than generic foundation models, even on the very tasks for which benefits are claimed. arxiv.org/abs/2411.04118

I am recruiting PhD students at Duke! Please apply to Duke CS or CBB if you are interested in developing new methods and paradigms for NLP/LLMs in healthcare. For details, see here: monicaagrawal.com/home/researc....

I made a starter pack for health policy statistics! 📈🔢

Couldn't find a machine learning for health starter pack so I made one.  DM/Reply if you want to be added! go.bsky.app/PJKJ8vK

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/