Machine Learning In Drug Discovery Professors in Global

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Soma Das
University of Chicago United States of America
molecular diagnostics
mutation detection
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Maria Kurnikova
Carnegie Mellon University United States of America
high-throughput drug design
molecular modeling
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Palmer Taylor
University of California, San Diego United States of America
molecular recognition
drug design
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John Allingham
Queen's University Canada
molecular recognition
drug design
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Jordi Carreras Puigvert
Uppsala University Sweden
phenotypic drug discovery
drug repurposing
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Charles Leek
University of Southampton United Kingdom
machine vision
deep learning
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Aboelmagd Noureldin
Queen's University Canada
machine intelligence
machine vision
deep learning
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Alice Martins
Aalborg University Denmark
machine vision
deep learning
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Miaomiao Liu
Australian National University Australia
machine vision
deep learning
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Xin Wang
Monash University Australia
machine vision
deep learning
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale machine learning
deep learning
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Keith Pardee
University of Toronto Canada
molecular diagnostics
drug manufacturing
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Adem Aouichaoui
Technical University of Denmark Denmark
machine learning
molecular property prediction
deep learning
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Dirk Colbry
Michigan State University United States of America
machine vision
pattern recognition
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Majid Ahmadi
University of Windsor Canada
machine vision
pattern recognition
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Majid Ahmadi
University of Windsor Canada
machine vision
pattern recognition
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Irwin Donis-gonzalez
University of California United States of America
machine vision
pattern recognition
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Chee-ming Ting
Monash University Australia
computer-aided detection
deep learning
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Yongsong Tian
University of Copenhagen Denmark
molecular pharmacology
drug design
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
deep learning
machine learning frameworks
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