Adjoint Based Methods Professors in Global

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Kate Hong
Carnegie Mellon University United States of America
mathematical methods
anatomical methods
computational methods
statistical methods
behavioral methods
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Caleb Pomeroy
University of Toronto Canada
experimental methods
computational methods
statistical methods
archival research methods
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John Anderson
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
behavioral methods
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Monique Laurent
Tilburg University Netherlands
combinatorial methods
algebraic methods
geometric methods
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Oleg Pikhurko
University of Warwick United Kingdom
algebraic methods
probabilistic methods
analytic methods
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Maysam Chamanzar
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Northwestern University United States of America
experimental methods
interpretive methods
qualitative methods
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Thees Spreckelsen
University of Glasgow United Kingdom
experimental methods
research methods
quasi-experimental methods
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Dave Touretzky
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Mike Tarr
Carnegie Mellon University United States of America
mathematical methods
statistical methods
behavioral methods
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Alison Barth
Carnegie Mellon University United States of America
molecular methods
anatomical methods
statistical methods
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Ammar Sarhan
Dalhousie University Canada
bayesian methods
statistical methods
non-bayesian methods
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Jo Ferrie
University of Glasgow United Kingdom
research methods
quantitative methods
qualitative methods
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Paul Arora
University of Toronto Canada
statistical methods
causal inference methods
comparative effectiveness methods
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Christopher Pain
Imperial College London United Kingdom
numerical methods
discrete element methods
inversion methods
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Christopher Pain
Imperial College London United Kingdom
numerical methods
discrete element methods
inversion methods
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Gary Rosen
University of Southern California United States of America
adjoint method
numerical approximation methods
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Giacomo Aloisi
ETH Zurich Switzerland
adjoint modeling
numerical methods
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Shiva Tavallaey
KTH Royal Institute of Technology Sweden
model-based methods
data-driven methods
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Benjamin Berkels
RWTH Aachen University Germany
joint methods
variational methods
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Peter Hurley
University of Melbourne Australia
combinatorial methods
analytic methods
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