Awarded an MS in Electrical and Computer Engineering by Carnegie Mellon University
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I have completed my Master of Science in Electrical and Computer Engineering at Carnegie Mellon University.
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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.
Presented our paper at IREP 2025 in Sorrento
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I presented our paper at the 12th Bulk Power System Dynamics and Control Symposium (IREP 2025) in Sorrento, Italy. The full paper, Exploring extrapolation of machine learning models for power system time domain simulation, is now published in Sustainable Energy, Grids and Networks.
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.
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.