Eric Todd is a PhD student at Northeastern University, where his studies concentrate on interpretability and machine learning. His academic work involves understanding the learned structure inside large neural networks and how their internal representations enable impressive generalization capabilities.

As a Research Fellow at Goodfire, Todd's research interests align with his doctoral focus, encompassing machine learning, interpretability, and deep learning as a science.