Bio:

Shuchen Wu joined the Allen Institute and the University of Washington as a Shanahan Foundation Fellow in February 2025. Before the fellowship, Shuchen conducted research at the Explainable Machine Learning Lab at Helmholtz Munich, developing data-driven methods to interpret neural activity in large language models. Prior to that, Shuchen completed a PhD at the Max Planck Institute for Biological Cybernetics, investigating sequence chunking—how primitive sequences form reusable chunks, facilitating the acquisition of complex sequence representations, mentored by Eric Schulz, Peter Dayan, and Felix Wichmann. Shuchen holds a bachelor’s degree from the University of Rochester and a master’s degree in Neural Systems and Computation from the University of Zurich & ETH Zurich.