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

Associate Professor of EECS

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Irene Chen

PhD Student

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Michael Oberst

PhD Student

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Monica Agrawal

PhD Student

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Zeshan Hussain

MD/PhD Student

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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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Yuria Utsumi

Master’s student

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Ming-Chieh Shih

Postdoctoral Fellow

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Ahmed Alaa

Postdoctoral Associate

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Kyle Liu

Undergraduate Researcher

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Sharon Jiang

Undergraduate Researcher

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Sol Rodriguez

Undergraduate Researcher

Recent Publications

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Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance

Individuals often make different decisions when faced with the same context, due to personal preferences and background. For instance, …

MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records

Clinical documentation can be transformed by Electronic Health Records, yet the documentation process is still a tedious, …