Zedian (Mark) Xiao
ML Researcher & Engineer

I am an Applied Scientist at Amazon where I build adaptive and durable systems for detecting and preventing abuse. I dream of collaborative interfaces that empower whole teams to deliver responsibly and reliably. Previously, I showed how to scale LLMs to learn from millions of human workflows and how to hot-swap knowledge with LoRA adapters.

I have obtained my MS in Computer Science from Stanford University, advised by Diyi Yang. And my BS in Mathematics and Computer Science from McGill University, advised by Xue (Steve) Liu and Masoud Asgharian.

In my free time, you can find me tinkering with my espresso machine and discovering that red wines are not all the same over dinner with friends.