About the Lab

Led by David Sontag, the Clinical Machine Learning Group is interested in advancing machine learning and artificial intelligence, and using these techniques to advance health care.

Broadly, we have two goals:

  • Clinical: To truly make a difference in health care, we need to create algorithms that are useful for solving real clinical problems.
  • Machine learning: We need rigorous solutions, which can pave the way for safe deployment of machine learning in high-stakes settings like healthcare.

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Team

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David Sontag

Professor of EECS

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Christina X Ji

PhD Student

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Chandler Squires

PhD Student

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Hussein Mozannar

PhD Student

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Hunter Lang

PhD Student

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Shannon Shen

PhD Student

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Ilker Demirel

PhD Student

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Barbara Lam

Clinical Collaborator

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Sama Setty

Undergraduate Researcher

Recent Publications

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Towards Verifiable Text Generation with Symbolic References

Large language models (LLMs) have demonstrated an impressive ability to synthesize plausible and fluent text. However they remain …

Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes

The large amount of time clinicians spend sifting through patient notes and documenting in electronic health records (EHRs) is a …

Conformalized Unconditional Quantile Regression

We develop a predictive inference procedure that combines conformal prediction (CP) with unconditional quantile regression (QR)—a …