Olayiwola Arowolo

Olayiwola Arowolo

PhD Candidate, Delft AI Energy Lab @ TU Delft

Completed the CaCTüS internship at the RoLi Lab, Max Planck Institute for Biological Cybernetics

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The CaCTüS Internship programme is aimed at boosting the careers of talented students who experience significant difficulties in their pursuit of higher education and scientific development. Interns get the chance to go to Tübingen or Stuttgart for a paid, three-month internship. The programme provides access to first-class scientific institutions, hands-on research experience, and a scientific network in one of Germany’s leading locations for biological and artificial intelligence research.

I interned at the RoLi Lab, where I worked on improving the tracking algorithm for the first freely swimming larval zebrafish tracking microscope in the world. You can read more about the CaCTüS experience on the Max Planck Institute news page, and I shared a bit about my experience and background alongside my colleagues in this YouTube video.

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Open to new opportunities

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I am in the final year of my PhD and scheduled to complete it by Dec. 2026. I am looking for research scientist, machine learning engineer, and postdoctoral roles at the intersection of machine learning and energy systems. If you think my background could be a fit for your team, please get in touch — my CV and publications are on this site.

Started my PhD at TU Delft

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I started my PhD studies at Delft University of Technology, joining the Intelligent Electrical Power Grids group and the Delft AI Energy Lab under the supervision of Dr. Jochen Cremer. My research focuses on graph-based machine learning for power systems.