Institutional Sequencing Professors in Global

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Amineh Ghorbani
Delft University of Technology Netherlands
institutional modelling
institutional transformation
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Alfred Ferrer Florensa
Technical University of Denmark Denmark
biological sequence modeling
deep learning
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Federico Bocci
Radboud University Netherlands
machine learning
single-cell sequencing
deep learning
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Maurits Kaptein
Eindhoven University of Technology Belgium
sequential experimentation
statistical learning
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Jason Klusowski
Princeton University United States of America
statistical learning
deep learning
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Krishna Balasubramanian
University of California, Davis United States of America
statistical learning
deep learning
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Ying Ma
Brown University United States of America
statistical learning
deep learning
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Anthony Coache
Imperial College London United Kingdom
statistical learning
stochastic modeling
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Jayadev Acharya
Cornell University Netherlands
machine learning
statistical learning
information-constrained inference
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Ramandeep Randhawa
University of Southern California United States of America
machine learning
deep learning
stochastic modeling
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Joris Bierkens
Delft University of Technology Netherlands
statistical learning
stochastic simulation
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Chris De Sa
Cornell University Netherlands
deep learning
stochastic algorithms
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Chris De Sa
Cornell University Netherlands
deep learning
stochastic algorithms
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Ansgar Steland
RWTH Aachen University Germany
sequential analysis
machine learning
statistical learning
stochastic processes
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Mehdi Moradi
Umeå University Sweden
statistical learning
stochastic processes
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Tony Desmond
University of Guelph Canada
statistical learning
stochastic processes
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Tony Desmond
University of Guelph Canada
statistical learning
stochastic processes
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Anastasis Kratsios
McMaster University Canada
deep learning
stochastic processes
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Fotios Kokkotos
Boston University United States of America
machine learning
deep learning
stochastic processes
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Marko Boon
Eindhoven University of Technology Belgium
stochastic queueing models
stochastic simulation
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Irina Rish
University of Montreal Canada
machine learning
deep learning
probabilistic inference
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