
George Muasa
@georgemuasa
Materials scientist applying AI to materials research, including predictive models for material wear, fatigue, and corrosion.
What I'm looking for
At Kenya Industrial Research and Development Institute (KIRDI), I participated in research on AI-driven models to predict material performance under different environmental conditions. I also helped develop machine learning algorithms for materials discovery and degradation prediction.
As a freelance AI consultant for materials science, I developed predictive models to simulate material wear and fatigue, and analyzed datasets to identify trends in material properties and performance.
My research includes AI-driven materials discovery and predictive modeling of corrosion in harsh environments, including coastal areas. I hold a Master of Science in Materials Engineering from University of Nairobi, Kenya, and am looking to contribute my skills to innovative materials science and engineering projects.
Experience
Work history, roles, and key accomplishments
Materials Scientist Intern
Kenya Industrial Research and Development Institute
Jan 2023 - Jan 2024 (1 year)
Conducted research on AI-driven models to predict material performance under various environmental conditions. Collaborated with a multidisciplinary team to integrate AI tools with traditional materials characterization techniques and developed machine learning algorithms for materials discovery and degradation prediction.
Freelance AI Consultant for Materials Science
Self Employed
Jan 2022 - Jan 2023 (1 year)
Worked as a freelance AI consultant for materials research projects across various institutions. Developed predictive models for simulating material wear and fatigue and analyzed large datasets to identify trends in material properties and performance.
Education
Degrees, certifications, and relevant coursework
University of Nairobi
Master of Science, Materials Engineering
Master of Science in Materials Engineering with coursework in advanced materials characterization, machine learning for materials science, computational materials science, and materials degradation and sustainability. Thesis on AI-driven predictive modeling of corrosion in coastal environments.
Jomo Kenyatta University of Agriculture and Technology
Bachelor of Science, Applied Science
Bachelor of Science in Applied Science with coursework in thermodynamics of materials, solid state physics, materials design and selection, computational methods in materials science, and nanomaterials and engineering.
Moringa School
Certification, AI and Machine Learning
Completed a certification in AI and Machine Learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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