I am a determined student studying NLP at University of Waterloo advised by Yuntian Deng. Simultaneously, I am also nearly a professionally credentialed P&C Actuary (insurance engineer) with 6/7 exams fullfilled for associateship with the CAS. My research interests are in AI and ML. Right now is a very exciting time for AI with new capabilties emerging from long-context RL on reasoning models. In the midst of the excitement I have identified one important area I wish to research, which is meta learning. I believe models with long term memory i.e models that learn how to learn are the breakthrough we need to take AI everywhere. My thoughts are such a breakthrough involves a transformer with some sort of weight change dynamics, either via hypernetworks, gradients or recursion, but most likely all three.

I also enjoy bbq/smoking, basketball, pool, finance, golf and am a huge AMD fan in their pursuit to take on NVIDIA, so the #1 bottle neck to research (compute) can be more accessible.

Selected Work

	NeuralOS: Towards Simulating Operating Systems via Neural Generative Models Luke Rivard, Sun Sun, Hongyu Guo, Wenhu Chen, Yuntian Deng. ICLR 2026
	Chat Annotator: Fixing model errors with fine-grained feedback Luke Rivard, Yuntian Deng.