About
I'm the PI of the Human and Machine Cognition Lab, which is jointly funded by the Excellence Cluster "Machine Learning for Science" and the Tübingen AI Center. We are currently in the process of moving to a new home at TU Darmstadt, where I have accepted a W3 (tenured) Professorship as the chair of Computational Cognitive Science.
Previously, I was a Postdoc at Harvard University working jointly with Fiery Cushman and Sam Gershman, and before that I completed a PhD at the Center for Adaptive Rationality at the Max Planck Institute for Human Development in Berlin.
My research is primarily concerned with understanding how people learn under uncertainty. Whereas optimal solutions are generally unobtainable in real-world environments, humans are able to learn with unrivaled robustness and efficiency. How do people take overwhelmingly rich and complex problems and transform them into compressed representations that facilitate rapid inference and generalization?
My work uses a combination of statistical and machine learning models to uncover the computational principles behind human learning and inference. I also often use biologically inspired multi-agent systems for studying social learning and collective intelligence. My work has so far focused on two main branches of learning: efficient exploration guided by generalization, and learning from others in a social environment.
Open positions
Supported by a LOEWE Start Professorship and an ERC Starting grant "C4: Compositional Compression in Cognition and Culture", I are currently seeking to fill the following positions:
- Three fully-funded PhD positions (75% E13; upgradable to 100% after 3 months) [job ad]
- Two-year Postdoc (100% E14) [job ad]
Contact
Email : - charley.wu[at]uni-tuebingen[dot]de - charley.wu[at]tu-darmstadt[dot]de
Charley M. Wu
University of Tübingen, Cluster of Excellence "Machine Learning", Maria-von-Linden-Str. 6, D-72076 Tübingen