Jenmy Zhang

Principal Computational Physics Research Scientist



Jenmy is a Principal Research Scientist at Autodesk Research in Toronto. Her research interests and expertise cover a broad range of topics in computational physics, including simulation and optimization with multi-physics or multi-scale analyses, reduced-order modeling, stochastic inverse problems, and uncertainty quantification.

Jenmy has a PhD in Aerospace Engineering from the University of Toronto, where she worked on computational algorithms enabling generative design of aircraft wings with simultaneous structural sizing using fully coupled fluid-structural simulations. She joined Autodesk in 2017 as part of a transformative design initiative funded by DARPA, which has led to a number of joint publications with the University of Texas in Austin and Lawrence Livermore National Lab on accelerating failure predictions for multiscale lattice designs. She is currently focused on advancing the state of the art in digital twin and IoT technologies in ways that could fundamentally change how we design and make.

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