Zizhao Hu

Los Angeles

CS PhD @ University of Southern California · zizhaoh@usc.edu

advised by Jesse Thomason & Mohammad Rostami @ Amazon

I'm a researcher and engineer on Agentic AI. I work on agentic memory (continual learning, unlearning, memory consolidation through finetuning), human-computer interaction (alignment, personalization, safety, interpretability), and self-improving AI (text world model, verification loop).

I earned my BS in Physics at Georgia Tech and am now a CS PhD at USC, in the GLAMOR Lab.

I'm conducting LLM unlearning research for the US Government's IARPA, working with Robin Jia. Previously I was an ML domain lead at Handshake AI and a data engineer at Scale AI, where I collaborated with teams from OpenAI, Meta, and Anthropic to improve their unreleased black-box models.

Outside research I do K-pop dance covers, play intramural soccer, and spend downtime on competitive strategy games, anime, and movies.

CV scholar linkedin github email

what i work on

Agentic Memory
Continual learning of AI agents: in-context learning, continual fine-tuning, unlearning, memory consolidation, and in-context world models that adapt to evolving environments.
Human-Computer Interaction
Alignment, post-training personalization, safety, and interpretability, so that capable models stay legible and controllable for the people who use them.
Self-Improving AI
Models that get better from their own output, through synthetic data, test-time training, on-policy distillation, and in-context RL.