Divya Shanmugam
@dmshanmugam.bsky.social
On the 2025/2026 job market! Machine learning, healthcare, and robustness
postdoc @ Cornell Tech, phd @ MIT
dmshanmugam.github.io
postdoc @ Cornell Tech, phd @ MIT
dmshanmugam.github.io
New #NeurIPS2025 paper: how should we evaluate machine learning models without a large, labeled dataset? We introduce Semi-Supervised Model Evaluation (SSME), which uses labeled and unlabeled data to estimate performance! We find SSME is far more accurate than standard methods.
October 17, 2025 at 4:29 PM
New #NeurIPS2025 paper: how should we evaluate machine learning models without a large, labeled dataset? We introduce Semi-Supervised Model Evaluation (SSME), which uses labeled and unlabeled data to estimate performance! We find SSME is far more accurate than standard methods.
and... here is the actual GIF 🙈
June 14, 2025 at 5:04 PM
and... here is the actual GIF 🙈
New work 🎉: conformal classifiers return sets of classes for each example, with a probabilistic guarantee the true class is included. But these sets can be too large to be useful.
In our #CVPR2025 paper, we propose a method to make them more compact without sacrificing coverage.
In our #CVPR2025 paper, we propose a method to make them more compact without sacrificing coverage.
June 14, 2025 at 3:00 PM
New work 🎉: conformal classifiers return sets of classes for each example, with a probabilistic guarantee the true class is included. But these sets can be too large to be useful.
In our #CVPR2025 paper, we propose a method to make them more compact without sacrificing coverage.
In our #CVPR2025 paper, we propose a method to make them more compact without sacrificing coverage.
We also consider what new challenges generative AI in medicine might raise: what does patient consent look like with LLMs? Who is liable for algorithmic medical errors? These are open questions; there’s some work to answer this but lots more to be done!
December 18, 2024 at 4:14 PM
We also consider what new challenges generative AI in medicine might raise: what does patient consent look like with LLMs? Who is liable for algorithmic medical errors? These are open questions; there’s some work to answer this but lots more to be done!
We have a new review on generative AI in medicine, to appear in the Annual Review of Biomedical Data Science! We cover over 250 papers in the recent literature to provide an updated overview of use cases and challenges for generative AI in medicine.
December 18, 2024 at 4:14 PM
We have a new review on generative AI in medicine, to appear in the Annual Review of Biomedical Data Science! We cover over 250 papers in the recent literature to provide an updated overview of use cases and challenges for generative AI in medicine.