About Me

Building Great Beautiful Things at Meta.

Previously, I worked on Visual Intelligence at Apple Siri, and interned at MIT-IBM Watson working on synthetic data and model training. Some of my research papers include Synthetic Data RL, API Pack, AuthentiGPT, and JetMoE.

I hold a Ph.D. in Computer Science from MIT and a Bachelor’s degree in Physics with a minor in English from UC Berkeley. Outside of work, I enjoy reading, writing, and hiking.

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News

• September 2025: Vibes launched in Meta AI app for AI video creation, featuring personalized discovery feed and remix capabilities. Read more

• July 2025: Joined Meta Superintelligence Labs for multimodal embodiment.

• June 2025: Visual Intelligence for Apple Intelligence announced at WWDC 2025, enabling on-screen search and smart event creation. Read more

• September 2024: PIN AI secured $10 million in pre-seed funding, led by a16z crypto. Read more

• August 2024: Light: Science & Applications on imaging for pharmaceutical manufacturing. Read more

• July 2024: Joined Apple AIML Residency to work on Siri.

• June 2024: Octo-planner with Nexa AI, featured by MIT CSAIL. Read more

• April 2024: JetMoE foundation model highlighted by MIT CSAIL. Read more

• March 2024: MyShell AI raises $11 million in pre-A funding, led by Dragonfly. Read more

• June 2023: Research internship at MIT-IBM Watson AI Lab on code generation and tool use.

• June 2023: Nature Communications on emergent ferromagnetism. Read more

• May 2023: MIT-Takeda AI for medicine manufacturing featured in MIT News. Read more

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Essays

• Agent Topology Follows Task, Not Template (April 2026). Read

• How to Start Up (Without Losing Your Mind) (March 2026). Read

• How to Make a Great Product (March 2026). Read

• The OpenClaw Playbook (February 2026). Read

• The $100B Monologue (February 2026). Read

• The Billionaire Mindset: Look Up, Not Around (January 2026). Read

• Jumping from Apple to Meta: When Everything Changed (December 2025). Read

• Why AI Has to Create Jobs—or Fail Spectacularly (September 2025). Read

• From Code Red to Parity: The Humility Playbook for Google and OpenAI (August 2025). Read

• What I Learned During the Siri Makeover (July 2025). Read

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Papers

Here are a few selected publications. View all publications, patents, and projects.

• Synthetic Data RL: Task Definition Is All You Need
  Yiduo Guo, Zhen Guo, Chuanwei Huang, Zi-Ang Wang, Zekai Zhang, Haofei Yu, Huishuai Zhang, Yikang Shen
  NeurIPS 2025 submission
  [paper]

• API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
  Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda
  ICLR 2025
  [paper]

• Scaling Law Hypothesis for Multimodal Model
  Qingyun Sun, Zhen Guo
  PIN AI White Paper
  [paper]

• JetMoE: Reaching Llama2 Performance with 0.1M Dollars
  Yikang Shen, Zhen Guo, Tianle Cai, Zengyi Qin
  MyShell AI Technical Report
  [paper] [code] [demo]

• AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising
  Zhen Guo, Shangdi Yu
  NeurIPS 2023 on Generative AI for Education
  [paper]

• Ferromagnetism Emerged from Non-ferromagnetic Atomic Crystals
  Cheng Gong, Xiang Zhang, Peiyao Zhang, Tenzin Norden, Quanwei Li, Zhen Guo, Apoorva Chaturvedi, Arman Najafi, Shoufeng Lan, et al.
  Nature Communications (2023)
  [paper]

• Non-invasive Estimation of the Powder Size Distribution from a Single Speckle Image
  Qihang Zhang, George Barbastathis, Ajinkya Pandit, Zhiguang Liu, Zhen Guo, et al.
  Light: Science & Applications (2024)
  [paper]