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
1,189 followers
176 following
Getting Started
Conversation Starter
comment in response to
post
Hard to have a graded quiz, but still useful as an ungraded “self-assessment” (which I’ve seen) to set expectations for what kind of prereqs are expected. In some courses, you might expect those who would be scared off to drop the course later in any case, esp if drop deadline is pretty late.
comment in response to
post
From skimming the paper it seems more like the takeaway is: “if you binarize, you are estimating *something* that has a specific causal interpretation but it’s a weird thing (diff of two very specific treatment policies) you might not actually care about except in some special cases”
comment in response to
post
I’d nominate @monicaagrawal.bsky.social
comment in response to
post
@matt-levine.bsky.social has a great explanation in his Money Stuff newsletter (which I also highly recommend in general)
comment in response to
post
An example of some recent work (my first last-author paper!) on rigorous re-evaluation of popular approaches to adapt LLMs and VLMs to the medical domain
bsky.app/profile/zach...
comment in response to
post
Application link: www.cs.jhu.edu/academic-pro...
More information: www.michaelkoberst.com/joining
comment in response to
post
Would love to be added if possible, and would also nominate @monicaagrawal.bsky.social :)
comment in response to
post
Self-nominating for this one! All things in moderation
comment in response to
post
Would love to be added!
comment in response to
post
Late to this, but would love to be added!