Hi, I'm Jordan!

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I'm a PhD student at Stanford, advised by Azalia Mirhoseini (Scaling Intelligence Lab) and Chris Ré (Hazy Research). I completed my undergrad at the University of Waterloo, studying software engineering and optimization.

As part of UWaterloo's co-op program, I alternated between four months of classes and four months of full-time internships. I've been lucky to work with some really great people across several different areas of AI (listed here in mostly reverse chronological order):

• I worked in the NVIDIA Toronto AI Lab researching language control for physics-based character animation, advised by Jason Peng and Sanja Fidler.
• I interned twice at Facebook: once working on data pipelines for machine translation, and once working on neural image compression, where I helped create an open-source library for compression research.
• I worked on sparse training algorithms for transformer-based language models at Cerebras.
• At Groq, I helped build a prototype compiler that converts computational graphs into instructions for the company's ASIC.

Before my undergrad, I spent several summers as a biochemistry student researcher in the Kay lab at the University of Toronto, studying the ClpP protease.

You can email me at: (my first name)(my last name)@gmail.com