Kaiyu Yang
Also known as 杨凯峪
Kaiyu Yang is a computer scientist whose work links machine learning with formal mathematics. He earned degrees at Tsinghua, Michigan and Princeton, and coauthored research on pose estimation and proof-assistant tools including CoqGym, ASTactic and LeanDojo. He served as a postdoctoral fellow at Caltech and a research scientist at Meta FAIR before joining MiroMind as Lead Scientist of its Verifiable AI Lab in March 2026. Since 2026, he is Lead Scientist at Apodex, where he leads a team on language models for mathematics and verification.
Timeline
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2016
Stacked-hourglass pose estimation
In 2016, he coauthors Stacked Hourglass Networks for Human Pose Estimation, a convolutional network that processes body features across multiple scales to estimate human poses.
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2016–2022
Degrees across three universities
He earns a B.Eng. in computer science and a B.S. in mathematics at Tsinghua in 2016, an MS in computer science and engineering at the University of Michigan in 2018, and a PhD in computer science at Princeton under Jia Deng in 2022.
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2019
CoqGym and ASTactic
With Jia Deng, he introduces CoqGym in 2019, a dataset and learning environment with 71,000 human-written Coq proofs, and ASTactic, a deep-learning model that generates tactics as programs.
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2022–2024
A Caltech postdoctoral fellowship
At Caltech, he serves as a postdoctoral fellow in the Computing Data and Society Program from 2022 to 2024, advised by Yisong Yue and Pietro Perona.
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2023
LeanDojo and ReProver
In 2023, he coauthors LeanDojo, an open-source Lean playground with toolkits, data, models and benchmarks for language-model theorem proving. Its ReProver model uses retrieval to select premises from a large math library.
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2024–2025
Meta FAIR and Goedel-Prover
From 2024 to 2025, he works as a research scientist at Meta Fundamental AI Research (FAIR). In 2025, he coauthors Goedel-Prover, an open-source language model for automated formal proof generation in mathematics.
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March 2026
Leading MiroMind's Verifiable AI Lab
In March 2026, he joins MiroMind as Lead Scientist of its Verifiable AI Lab and leads work on verifiable reasoning and generation for code and mathematical proofs.
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Since 2026
Lead scientist at Apodex
Since 2026, he is Lead Scientist at Apodex, where he leads a research team working on large language models for mathematics and verification.
Career
- Since 2026ApodexLead Scientist
- From 2026MiroMindLead Scientist
- 2024–2025FAIR (Meta)Research Scientist
- 2022–2024California Institute of TechnologyPostdoctoral Fellow
Education
- 2022Princeton UniversityPhD
- 2018University of MichiganMS
- 2016Tsinghua UniversityB.Eng. and B.S.
Most-cited works
- Stacked Hourglass Networks for Human Pose EstimationWith Jia Deng
- Towards fairer datasetsWith Fei-Fei Li, Jia Deng and Olga Russakovsky
- Infinite Photorealistic Worlds Using Procedural GenerationWith Jia Deng
- A Study of Face Obfuscation in ImageNetWith Fei-Fei Li, Jia Deng and Olga Russakovsky
- LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
Sources and credits
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- Stacked Hourglass Networks for Human Pose Estimation
- Graduate students receive Siebel Scholar awards
- Kaiyu Yang — Background & Publications
- Learning to Prove Theorems via Interacting with Proof Assistants
- CDSP Fellows
- LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
- Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving
- MiroMind Announces Three World-Class Scientific Leaders to Join Its Core AI Research Team
- Kaiyu Yang







