Nancy Xu

I'm a doctoral student at the School of Electrical Engineering and Computer Science (EECS) in the Department of Computing and Learning Systems (CLS) and the WASP AI program. I am supervised by Professor Henrik Boström and Professor Michail Vazirgiannis.

I research deep learning with heterogenous data with a focus on applied graph neural networks (GNNS) and trustwowrthy machine learning.

My research is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP-AI) funded by the Knut and Alice Wallenberg Foundation.