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Delft University of Technology
- Netherlands
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Jesper Løve Hinrich
JesperLH
Researcher and educator in mathematics, statistics, and machine learning. Applications are mostly related to chemistry, physics, and biology.
Denmark
Kim Batselier
kbatseli
Working on tensor methods for high-dimensional data and signal processing, nonlinear system identification, machine learning and control.
Delft University of Technology Netherlands
Tra Le
trale97
PhD Candidate in Methodology and Statistics, Tilburg University. Currently developing new structural equation modeling methods for high-dimensional data.
Bob Carpenter
bob-carpenter
I work in computational and applied statistics, largely on the Stan probabilistic programming language, autodiff library, and Bayesian inference algorithms.
Flatiron Institute New York
David Xu
zuhengxu
PhD Candidate of Statistics, focusing on Bayesian computational problems.
Statistics, UBC Vancouver, Canada