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  • Delft University of Technology
  • Netherlands
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@JesperLH
Jesper Løve Hinrich JesperLH
Researcher and educator in mathematics, statistics, and machine learning. Applications are mostly related to chemistry, physics, and biology.

Denmark

@JuliaLang
The Julia Programming Language JuliaLang
The Julia Programming Language
@kbatseli
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

@trale97
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 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

@TuringLang
The Turing Language TuringLang
Bayesian inference with probabilistic programming
@zuhengxu
David Xu zuhengxu
PhD Candidate of Statistics, focusing on Bayesian computational problems.

Statistics, UBC Vancouver, Canada

@paul-buerkner
Paul-Christian Bürkner paul-buerkner

Department of Statistics, TU Dortmund University

@mertyg
Mert Yuksekgonul mertyg
PhD student at Stanford AI Lab

Stanford University Stanford, CA