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Keynote and Invited Speakers will deliver their lectures live through WebEx
https://purdue.webex.com/meet/aselvite
on the dates and times detailed below.
"Be approximately right rather than exactly wrong."
"Be approximately right rather than exactly wrong."
~ John W. Tukey, Statistician
~ John W. Tukey, Statistician
Hannah Lu
Hannah Lu
Title: Scientific Machine Learning Enhanced Forecasting in Subsurface Flows
Department of Aerospace Engineering and Engineering Mechanics
University of Texas at Austin
Yize Zhao
Yize Zhao
Title: Bayesian graph-informed disease modeling from neuroimaging to EHR data
Department of Biostatistics
Yale University
Ali Shojaie
Ali Shojaie
Title: Statistical Inference for Networks of Point Processes
Department of Biostatistics
University of Washington
Caroline Moosmueller
Caroline Moosmueller
Title: Learning in the space of probability measures
Department of Mathematics
University of North Carolina at Chapel Hill
Eva Navarro López
Eva Navarro López
Title: We need to talk about AI
International Panel on the Information Environment
Civic A.I. Lab, Northeastern University
DigitalFems
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