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.

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

Essays

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

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]