Michael Oberst
@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
Visiting Scientist at Abridge AI
Causality & Machine Learning in Healthcare
Prev: PhD at MIT, Postdoc at CMU
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
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
July 23, 2025 at 2:10 PM
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
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
Reposted by Michael Oberst
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!
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!
Oh I have no strong view on the substance, I just missed conversations that go like this (not with cranks) and I'm happy there's a platform where they're happening again.
November 9, 2024 at 3:12 PM
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!
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!
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!
November 27, 2024 at 3:58 PM
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!
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!
Reposted by Michael Oberst
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
arxiv.org/abs/2411.04118
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
Several recent works seek to develop foundation models specifically for medical applications, adapting general-purpose large language models (LLMs) and vision-language models (VLMs) via continued pret...
arxiv.org
November 26, 2024 at 6:12 PM
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
arxiv.org/abs/2411.04118
Reposted by Michael Oberst
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....
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....
November 18, 2024 at 8:16 PM
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....
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....
Reposted by Michael Oberst
I made a starter pack for health policy statistics! 📈🔢
November 16, 2024 at 9:11 PM
I made a starter pack for health policy statistics! 📈🔢
Reposted by Michael Oberst
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
DM/Reply if you want to be added!
go.bsky.app/PJKJ8vK
November 17, 2024 at 6:34 AM
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
DM/Reply if you want to be added!
go.bsky.app/PJKJ8vK
Reposted by Michael Oberst
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/
Apply via UC Berkeley CPH or EECS (AI-H) 🌉.
irenechen.net/join-lab/
November 12, 2024 at 1:35 AM
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/
Apply via UC Berkeley CPH or EECS (AI-H) 🌉.
irenechen.net/join-lab/