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moberst.bsky.social
Assistant Prof. of CS at Johns Hopkins Visiting Scientist at Abridge AI Causality & Machine Learning in Healthcare Prev: PhD at MIT, Postdoc at CMU
11 posts 1,188 followers 176 following
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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!

submitted 110 days ago • 1 comment

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!

submitted 92 days ago • 1 comment

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

submitted 93 days ago • 9 comments

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....

submitted 101 days ago • 0 comments

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

submitted 103 days ago • 12 comments

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

submitted 102 days ago • 48 comments

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/

submitted 107 days ago • 1 comment