Michael Li

I'm an incoming PhD student in CS at Northeastern University, advised by David Bau and Byron Wallace. I previously studied statistics and machine learning at Carnegie Mellon University.

I'm interested in developing our scientific understanding of neural networks, mostly by studying the underlying mechanisms and representations they learn. More broadly, I'm excited by foundational questions about phenomena in deep learning, e.g. generalization, emergent capabilities, scaling laws, and so on.