Hi I am Mimee Xu, and I build infrastructure for large scale machine learning's worst problems. I enjoy fixating on technical details and have a broad breadth of techniques that span systems, optimization, security & privacy, and regulations.

I recently finished my PhD from NYU Courant, and currently a research fellow at NYU Law ILI. I research interned at Facebook AI Research and ByteDance Applied ML. Previously, I worked in industry on engineering and research with experiences at Google Chrome and Baidu Silicon Valley AI Labs.

This website is a collection of (human-written) ideas that attempts to form a linearity in telling my story of intellectual and engineering pursuits. My professional bio is synthesized here.