Machine Learning In Drug Discovery Professors in Global

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Gennady Poda
University of Toronto Canada
computational drug discovery
structure-based drug discovery
computer-aided drug design
ligand-based drug discovery
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Garrett Morris
University of Oxford United Kingdom
computer-aided drug discovery
machine learning
deep learning
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Christian Sköld
Uppsala University Sweden
drug discovery
computer-aided drug design
computational medicinal chemistry
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Subha Kalyaanamoorthy
University of Waterloo Canada
drug discovery
machine learning
molecular modeling
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Gaurav Chopra
Purdue University United States of America
automation accelerating drug discovery
machine learning
drug design
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Hamid Alinejad-rokny
University of New South Wales Australia
machine learning
biomedical machine learning
statistical machine learning
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Tian Liang
University of Manchester United Kingdom
ai-driven drug design
machine learning
deep learning
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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David Chalmers
Monash University Australia
machine learning
computational drug formulation
drug design
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Filip Kelvinius
Linköping University Sweden
machine learning
material discovery
deep learning
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Hessam Mehr
University of Glasgow United Kingdom
machine learning
automated chemical discovery
probabilistic logic techniques applied to discovery
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
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Adem Aouichaoui
Technical University of Denmark Denmark
machine learning
molecular property prediction
deep learning
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Kin-choong Yow
University of Regina Canada
machine learning
deep learning
pattern recognition
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Helene Thomsen
Aarhus University Denmark
machine learning
deep learning
prediction modeling
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George Azzopardi
University of Groningen Netherlands
machine learning
deep learning
pattern recognition
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Alexandra Branzan Albu
University of Victoria Canada
machine learning
deep learning
pattern recognition
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Aboelmagd Noureldin
Queen's University Canada
machine intelligence
machine vision
deep learning
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Thomas Fevens
Concordia University Canada
machine learning
deep learning
pattern recognition
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Divya Sharma
York University Canada
machine learning
deep learning
pattern recognition
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Vishnu Boddeti
Michigan State University United States of America
machine learning
deep learning
pattern recognition
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