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Structural and Functional Bioinformatics Group

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KAUST CEMSE CS SFB Juexiao Zhuo

Juexiao Zhou

PhD Student, Computer Science
  • CBRC
  • CS
  • CEMSE
  • SFB
  • protein function
  • Deep learning
  • Medical imaging
Students
Maha Thafar

Maha Thafar

PhD Student, Computer Science
  • CBRC
  • CS
  • CEMSE
  • KML
  • machine learning
  • Deep learning
  • data mining
Alumni
KAUST CEMSE CS SFB Ramzan Umarov

Ramzan Umarov

PhD Student, Computer Science
  • CBRC
  • CS
  • CEMSE
  • SFB
  • machine learning
  • Deep learning
Alumni
KAUST CEMSE CS SFB Yu Li

Yu Li

PhD Student, Computer Science
  • CBRC
  • CS
  • CEMSE
  • SFB
  • machine learning
  • Deep learning
  • bioinformatics
Alumni
KAUST CEMSE CS SFB Xuefeng Cui

Xuefeng Cui

Postdoctoral Fellows, Structural and Functional Bioinformatics Group
  • bioinformatics
  • Deep learning
  • parallel algorithms
Former Members
KAUST CEMSE CS SFB Lizhong Ding

Lizhong Ding

Postdoctoral Research Fellow, Structural and Functional Bioinformatics Group
  • CBRC
  • CS
  • CEMSE
  • SFB
  • machine learning
  • Kernel Methods
  • Model Selection
Former Members
KAUST-CEMSE-CBRC-PhD-Dissertation-Defense-Maha-A-Thafar (1)
Drug Repositioning through the Development of Diverse Computational Methods using Machine Learning, Deep Learning, and Graph Mining
Maha Thafar
Thursday, June 30, 08:30
- 10:30
KAUST
  • CBRC
  • CS
  • CEMSE
  • SFB
  • Computational biology
  • machine learning
  • Deep learning
PhD Dissertation Defense

2017-07-24 - 14:35

Image
KAUST Campus View1
Our work on developing deep learning method for binding affinity prediction accepted by Bioinformatics (Sequence2Vec)
7 years 3 months ago
  • Deep learning

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