Oluwakayode Oyedele
Doctoral Student@ McGill University
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Oluwakayode Oyedele is a highly passionate engineer with 7.4 years of experience. Based in Montreal, Canada, he has a strong passion for engineering and a deep desire to develop solutions to problems facing man and his immediate environment. Oluwakayode is trained as a mechanical engineer and computational scientist, focusing on computational fluid dynamics. He is also interested in high-performance computing and machine learning, and enjoys reading literature and autobiographies. In his free time, Oluwakayode enjoys reading literature and autobiographies.
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About

I fell in love with engineering at a very tender age, and I have never once doubted my love for it. For me, engineering is not just a career or a profession; it is a habit—an habit that has grown into an obsession—one fueled by my strong desire to develop solutions to the problems facing man and his immediate environment. My deep love for engineering is further intensified by its capacity to solve problems currently considered unsolvable and its ability to help reach heights currently deemed unattainable. I am trained both as a mechanical engineer and as a computational scientist. I am fascinated by the huge prospects that lie in the application of scientific computing to traditional engineering. Most of my research has been in the area of computational fluid dynamics. I use tools like ANSYS, OpenFoam, Paraview, Matlab, and C++ to execute projects. I am also interested in the application of high-performance computing and machine learning to fluid dynamics. During my free time when I am not playing the guitar, I like to read literature and autobiographies. I also love to write poems and articles.

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Work Experience

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Oluwakayode Oyedele's Professional Milestones

  • Computational Fluid Dynamics Intern (2021-03-01~): Conducted scientific research on fluid dynamics techniques, contributing to advancements in the field.
  • Master Thesis Candidate (2022-01-01~2022-08-01): Successfully won multiple academic awards, establishing a reputation for excellence in the field.
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Education

Technical University of Munich
Technical University of Munich

Computational Mechanics

2019-2022
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