About Me

My name is Zining Zhu (朱子宁). I will join Stevens Institute of Technology as an Assistant Professor. I am a PhD candidate at University of Toronto and Vector Institute, advised by Frank Rudzicz.
I direct the Explainable and Controllable AI lab. I'm also affiliated with the Stevens Institute for Artificial Intelligence.
I am interested in understanding the mechanisms and abilities of neural network AI systems, and incorporating the findings into controlling the AI systems. In the long term, I look forward to empowering real-world applications with safe and trustworthy AIs that can collaborate with humans.

Openings: I’m looking for multiple PhD/master/internship students to work on explainable and safe NLP AI systems. If you are interested in working on these directions, please send me an email at zzhu41@stevens.edu.

Research interests

  • Model interpretation
  • Natural language explanation
  • Model intervention
  • Societal implications and safe deployments

The Research page contains more details about the research projects of my lab.