Data Driven Ai Methods Professors in Global

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Thomas Tiedje
University of Victoria Canada
analytical methods
computational methods
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Satoshi Takahama
École Polytechnique Fédérale de Lausanne Switzerland
analytical methods
computational methods
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Sunmee Kim
University of Manitoba Canada
data-driven analytics
longitudinal data methods
statistical methods
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J Okeme
McMaster University Canada
analytical methods
modelling methods
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Rui Duan
Harvard T.H. Chan School of Public Health United States of America
computational methods
statistical methods
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John Anderson
Carnegie Mellon University United States of America
computational methods
statistical methods
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Maysam Chamanzar
Carnegie Mellon University United States of America
computational methods
statistical methods
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Kate Hong
Carnegie Mellon University United States of America
computational methods
statistical methods
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Dave Touretzky
Carnegie Mellon University United States of America
computational methods
statistical methods
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Wei Chen
University of Pittsburgh United States of America
computational methods
statistical methods
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Eli Ben-michael
Carnegie Mellon University United States of America
computational methods
statistical methods
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Eli Ben-michael
Carnegie Mellon University United States of America
computational methods
statistical methods
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Karen Mckinnon
University of California Los Angeles United States of America
computational methods
statistical methods
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Caleb Pomeroy
University of Toronto Canada
computational methods
statistical methods
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Steven Schrodi
University of Wisconsin–Madison United States of America
computational methods
statistical methods
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Yue Zhao
University of Southern California United States of America
reliable ai systems
evaluation frameworks for ai
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Yue Zhao
University of Southern California United States of America
reliable ai systems
scalable ai systems
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Burcin Becerik-gerber
University of Southern California United States of America
data-driven engineering
people-centered ai in built environments
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Paromita Dubey
University of Southern California United States of America
statistical methods
dynamic data analysis
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Paul Arora
University of Toronto Canada
statistical methods
causal inference methods
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Cecilia Ying
Purdue University United States of America
biases in ai
corrective measures in ai
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