about
Zizhao Hu

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), AI alignment, and self-improving AI.

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. 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, played in my high school soccer league, and spend downtime on competitive strategy games, anime, and movies.

what i work on
memory

Agentic Memory

Continual learning of AI agents — in-context learning, continual fine-tuning, unlearning, and in-context world models that adapt to evolving environments.

alignment

AI Alignment

Keeping capable models safe and under human control — post-training guardrails, multi-agent interaction risks, and AI behavioral study.

self-improving

Self-Improving AI

Models that get better from their own output — through synthetic data, test-time training, on-policy distillation, and in-context RL.

news & media
The RegisterQbitAITencent News36KrXYahoo TechAIToday
my path
  1. 2016

    Physics

    photonics, metasurfaces, dynamic systems

  2. 2018

    Agile Systems

    bio-inspired flight & sensing

  3. 2021

    Robotics · RL

    policy learning for physical control

  4. 2022

    Continual Learning · VAE

    regularization design for VAEs

  5. 2023

    Multimodal Generation

    diffusion models & VLM architecture

  6. 2026
    now

    Agentic Memory

    in-context learning, unlearning, memory scaffolds

  7. ?
    next

    World Models

    predictive world models, served in real time

collaborators
Georgia TechUSCHandshake AIOpenAIMetaGoogle CloudScale AI
Zizhao Hu
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