Computational Bayesian Inference Professors in Global

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Scott Schmidler
Duke University Singapore
bayesian computation
computational biophysics
computational biology
probabilistic machine learning
computational immunology
computational statistical mechanics
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Uta Noppeney
Radboud University Netherlands
probabilistic computations
perceptual inference
computational neuroscience
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Marylyn Ritchie
University of Pennsylvania United States of America
computational biology
computational genomics
evolutionary computation
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Marylyn Ritchie
University of Pennsylvania United States of America
computational biology
computational genomics
machine learning
evolutionary computation
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Russell Schwartz
Carnegie Mellon University United States of America
computational biology
computational genomics
computational cancer biology
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Yuan Ji
University of Chicago United States of America
bayesian statistical methods
computational biology
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Alexander Hartemink
Duke University Singapore
bayesian networks
bayesian statistics
computational neurobiology
computational biology
machine learning
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Heiko Dietrich
Monash University Australia
computational group theory
computational algebra
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Georg Gerber
Harvard-MIT Health Sciences Technology United States of America
computational biology
bayesian dynamical systems
machine learning
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Xuanyao Liu
University of Chicago United States of America
computational biology
computational genomics
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Xuanyao Liu
University of Chicago United States of America
computational biology
computational genomics
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Subha Kalyaanamoorthy
University of Waterloo Canada
computational biology
computational genomics
machine learning
phylogenetic inference
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Jens Carlsson
Uppsala University Sweden
computational biology
computational biochemistry
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Harvard University United States of America
computational biology
computational quantitative biology
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Wei Jin
Boston University United States of America
bayesian statistical methods
causal inference
machine learning
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Roee Gutman
Brown University United States of America
bayesian statistical methods
causal inference
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Dae Ham
University of Michigan United States of America
randomization inference
causal inference
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Christina Lee Yu
Cornell University Netherlands
inference networks
causal inference
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David Stephens
McGill University Canada
computational biology
causal inference
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Romain Lopez
New York University United States of America
computational biology
causal inference
machine learning
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Justin Silverman
Pennsylvania State University United States of America
computational biology
causal inference
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