Maxat Kulmanov is a research scientist at KAUST with 11 years of experience bridging bioinformatics research and software engineering. He holds a PhD in Computer Science and has progressed from PhD candidate and postdoc roles into applied research focusing on AI, machine learning, and neural network applications in life sciences. Prior to academia he built production web and mobile systems—game-based learning platforms, backend services, and mobile apps—using Python/Django, Java, AngularJS and various databases, and has hands-on ops experience administering Debian servers. Maxat’s background uniquely combines rigorous computational research with full-stack development practice, enabling rapid prototyping of ML-driven bioinformatics tools. Based in Saudi Arabia, he has international research exposure including a visiting stint in Germany and a record of teaching and mentoring at the university level. An intriguing thread through his career is shifting smoothly between production engineering and scholarly research, making him effective at turning complex algorithms into usable software.
11 years of coding experience
14 years of employment as a software developer
PhD Computer Science, PhD Computer Science at KAUST (King Abdullah University of Science and Technology)
Master's degree Information Systems, Master's degree Information Systems at Kazakh-British Technical University
Visiting Student Computer Science, Visiting Student Computer Science at Carl von Ossietzky University of Oldenburg
Contributions:13 PRs, 78 pushes, 1 comment in 1 year 5 months
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