基本信息
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Bio
My goal is to develop machine learning algorithms to create a learning healthcare system, where digitized clinical and biological data are used to improve clinical care while improving our understanding of human & disease biology.
My research interests lie in the following topics:
Deep learning: Unsupervised and self-supervised learning algorithms for extracting predictive patterns from noisy, high-dimensional data.
Causal inference: Developing methods for estimating causal effects to identify good interventional policies from high-dimensional, time-varying observational data.
Reliable machine learning: Developing guardrails for the reliable deployment of machine learning models.
My research interests lie in the following topics:
Deep learning: Unsupervised and self-supervised learning algorithms for extracting predictive patterns from noisy, high-dimensional data.
Causal inference: Developing methods for estimating causal effects to identify good interventional policies from high-dimensional, time-varying observational data.
Reliable machine learning: Developing guardrails for the reliable deployment of machine learning models.
Research Interests
Papers共 48 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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Hamidreza Kamkari,Brendan Ross,Jesse Cresswell,Anthony Caterini,Rahul G. Krishnan,Gabriel Loaiza-Ganem
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CANADIAN JOURNAL OF NEUROLOGICAL SCIENCESpp.1-9, (2024)
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CoRR (2024)
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Jack B Longwell,Ian Hirsch,Fernando Binder, Galileo Arturo Gonzalez Conchas, Daniel Mau,Raymond Jang,Rahul G Krishnan,Robert C Grant
JAMA network openno. 6 (2024): e2417641-e2417641
ICLR 2023 (2023)
CoRR (2023): 669-680
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