CS Special Seminar: Qi Chen "Towards Trustworthy and Data-Efficient Artificial Intelligence"

Towards Trustworthy and Data-Efficient Artificial Intelligence

Qi Chen
University of Toronto
Google Scholar

Abstract: TBA

Bio: Qi Chen is a postdoctoral fellow at the University of Toronto, advised by Florian Shkurti. She is also affiliated with the Data Science Institute (DSI) and the Vector Institute. She received her Ph.D. in March 2024 from Laval University, under the supervision of Mario Marchand, and holds a Diplôme d’Ingénieur (Master’s degree) from Télécom Paris. Her research focuses on improving the generalization of modern deep learning models in out-of-distribution settings and dynamically changing environments, considering potential algorithmic fairness and privacy issues. She is currently supported by a DSI Postdoctoral Fellowship and was previously funded by NSERC during her doctoral studies. Before starting her Ph.D., she was a senior engineer at Baidu and ByteDance, working on large language models for automatic speech recognition systems.