Machine Learning Approaches Professors in Global

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Patrick O'brien
University of Michigan Medical School United States of America
genetic approaches
cellular approaches
biophysical approaches
biochemical approaches
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Farid Moussavi-harami
University of Washington United States of America
computational approaches
molecular approaches
biomechanical approaches
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University of Chicago United States of America
genetic approaches
genomic approaches
transcriptomic approaches
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Anthony Bailey
University of British Columbia Canada
genetic approaches
neuroimaging approaches
neuropathological approaches
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Sicinski Lab
Dana-Farber Cancer Institute United States of America
genetic approaches
genomic approaches
proteomic approaches
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning algorithms
machine learning
machine learning theory
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Astrid Brousselle
University of Victoria Canada
collaborative approaches
participative approaches
community-based approaches
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Yisong Yue
California Institute of Technology United States of America
machine learning
statistical machine learning
interactive machine learning
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Jennifer O'neil
University of Ottawa Canada
co-designed approaches
mixed-method participatory approaches
person-centred approaches
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Chenxi Huang
Yale University United States of America
computational approaches
mathematical approaches
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Eric Rosen
University of Michigan United States of America
neural network approaches
learning algorithms
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Jennifer Sun
University College London United Kingdom
computational approaches
genetic approaches
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University of Toronto Canada
computational approaches
machine learning
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Webb
Princeton University United States of America
computational approaches
machine learning
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Samir Maity
Aalborg University Denmark
computational approaches
machine learning
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Karthik Shekhar
University of California, Berkeley United States of America
computational approaches
machine learning
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Oscar Della Pasqua
University College London United Kingdom
model based approaches
quantitative approaches
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Sherri Rose
Stanford University United States of America
statistical approaches
machine learning
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Ilan Adler
University of California, Berkeley United States of America
geometrical approaches
combinatorial approaches
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Jorge Almeida
University of Texas at Austin United States of America
neurobiological approaches
behavioral approaches
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Benjamin Bloem-reddy
University of British Columbia Canada
probabilistic approaches
machine learning
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