Hanqi is a Ph.D. student in the Machine Learning Excellence Cluster and a scholar in IMPRS-IS, jointly supervised by Dr. Álvaro Tejero-Cantero from the Machine Learning ⇌ Science Colaboratory and Dr. Charley Wu from the Human and Machine Cognition Lab. Before joining the lab, she finished her master thesis in the Embodied Vision Group at MPI-IS. She obtained her M.Sc. in Cognitive Systems from Ulm University and a B.Sc. in Information Science from Southeast University.
Hanqi’s research interest is to investigate the intersection of human cognition and machine learning. Specifically, she would like to utilize probabilistic machine learning models to model the memory systems, structure learning capabilities, and temporal causality inference mechanisms used by humans. An understanding of the effectiveness of human learning can be in turn be applied to inspire and optimize machine intelligence.