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Cynthia Rudin

Professor at PI, Prediction Analysis Lab Duke University

Cynthia Diane Rudin (born 1976) is an American computer scientist and
statistician specializing in machine learning and known for her work
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Cynthia Diane Rudin (born 1976) is an American computer scientist and statistician specializing in machine learning and known for her work in interpretable machine learning. She is the director of the Prediction Analysis Lab at Duke University, where she is a professor of computer science, electrical and computer engineering, and statistical science.
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dame-flame: A Python Library For Interpretable Matching for Causal Inference

Cynthia Rudin
Professor at PI, Prediction Analysis Lab Duke University
+ 3 speakers
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SciPy 2021
August 14, 2021, Online, USA
SciPy 2021
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dame-flame: A Python Library For Interpretable Matching for Causal Inference

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Software Engineer at FactSet
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dame-flame: A Python Library For Interpretable Matching for Causal Inference

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Cynthia Rudin
Professor at PI, Prediction Analysis Lab Duke University
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Why use Interpretable Machine Learning?

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Professor at PI, Prediction Analysis Lab Duke University
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Stop Explaining Black Box Models, Use Interpretable Models Instead

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Neha Gupta

Software Engineer at FactSet
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Sudeepa Roy

Assistant Professor at Duke University, Computer Science
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Alexander Volfovsky

Assistant Professor, Department of Statistical Science at Duke University
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