I am a Research Scientist at NVIDIA within the Toronto AI Lab.
I completed my PhD under the supervision of Rich Zemel and Roger Grosse.
I have a broad set of interests, within deep learning and elsewhere. My research thus far has focused on improving optimization for deep neural networks and better understanding their loss landscape geometry. I have also worked on imposing functional constraints on neural networks, providing theoretical guarantees for learning with limited data, and investigating representation learning.
Moving forwards, I'm excited to continue developing our understanding of deep neural networks and seeking new applications. I'm particularly excited to work on deep learning applications within graphics and 3D geometry processing --- with an eye towards bringing deep learning tools into game development.
jlucas [at] cs [dot] toronto [dot] edu Take that, bots
I also enjoy:
Check my google scholar for an up-to-date list of publications.
In the Fall of 2017 I taught CSC411/2515 - Introduction to Machine Learning.