Jenmy is a Post-Doctoral Fellow at the Computational Science Research Group in Toronto. Her research interest lies in the development and application of computational algorithms for automated design and optimization, which leverage machine learning, computational fluid dynamics, computational structural mechanics, geometry modelling, and distributed computing.
Jenmy got her masters and PhD degrees from the University of Toronto Institute for Aerospace Studies (UTIAS), and her undergraduate degree from the Engineering Science program at the University of Toronto. Her PhD project involved the development of scalable computational algorithms for shape optimization of aircraft based on high-fidelity aerostructural analysis. For her master’s project, she worked on mesh adaptation algorithms for problems with highly anisotropic features. After completing her PhD, Jenmy worked as a post-doctoral research assistant at UTIAS, with her research focusing on efficient surrogate modelling algorithms for engineering design applications.
Outside of work, Jenmy likes traveling to new places and experiencing different cultures. She also enjoys music, photography, hiking, and playing tennis.
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