Author
Ezekiel (Zeke) Williams
I’m a PhD candidate in applied mathematics at Université de Montréal and Mila, the Quebec AI Institute. My research spans applied mathematics, neuroscience, and statistical machine learning–in particular, probability theory, dynamical systems, and learning and memory in Recurrent Neural Network (RNN) models. My current work focuses on temporal credit assignment–learning problems that require memory–and the roles/impacts of stochasticity in RNNs.
Outside of research, I spend a lot of time frolicking outside, making music (usually inside), engaging in activism, and reading/listening to podcasts on economics, philosophy, politics, and the news.