Biography
Maxat Kulmanov is a Ph.D. candidate in Computational Bioscience Research Center at King Abdullah University of Science and Technology. His interests are artificial intelligence, knowledge representation and reasoning, machine learning, neural networks, semantic web, and algorithms. He develops methods for knowledge discovery and data integration using artificial intelligence and semantic web technologies in biology and biomedicine. His research topic is “Predicting Gene Knockout Phenotypes”.
Interests
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Knowledge Representation and Reasoning
- Computational Biology
- Bioinformatics
Education
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PhD in Computer Science, 2020
King Abdullah University of Science and Technology
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MSc in Engineering and Technology, 2009
Kazakh-British Technical University
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BSc in Information Systems, 2008
Kazakh-British Technical University