# Ce Zhang

> Ce Zhang is the founder and CTO of Together AI and a Neubauer Associate Professor at the University of Chicago. A former ETH Zürich professor, he has spent his career on data systems and machine learning infrastructure that make advanced techniques more accessible.

- **Role:** Founder and CTO at Together AI; Neubauer Associate Professor at the University of Chicago
- **Organizations:** Together AI, University of Chicago, ETH Zürich, Stanford University, INSAIT
- **Education:** Undergraduate study; degree not stated, Peking University, PhD, University of Wisconsin-Madison
- **Known for:** Co-founded Together AI and serves as CTO., Led ETH Zürich’s Data Sciences, Data Systems, and Data Services Lab., His work received a SIGMOD Best Paper Award and SIGMOD Research Highlight Award.

## Career timeline

- **Before 2016** — Completed a PhD at the University of Wisconsin-Madison and a postdoctoral year at Stanford University, both advised by Christopher Ré.
- **2016** — Joined ETH Zürich as a tenure-track assistant professor on September 1.
- **2022** — Received an ERC Starting Grant; co-founded Together AI, launched in June, with Vipul Ved Prakash, Chris Ré and Percy Liang.
- **2023** — Together AI announced its initial $20 million funding round.
- **2026** — Listed as founder and CTO of Together AI; remains a Neubauer Associate Professor at the University of Chicago and appeared in the company’s NVIDIA GTC program.

## Achievements

- Co-founded Together AI and serves as CTO.
- Led ETH Zürich’s Data Sciences, Data Systems, and Data Services Lab.
- His work received a SIGMOD Best Paper Award and SIGMOD Research Highlight Award.
- Received a Google Focused Research Award and an ERC Starting Grant.
- Co-editor-in-chief of the Data-centric Machine Learning Research journal.
- Co-authored research on machine learning systems and production inference, including Together AI work on cache-aware prefill-decode disaggregation.

## Latest updates

- **2026-03** — Appeared in Together AI’s NVIDIA GTC 2026 program on production inference.
- **2026-03** — Co-authored Together AI research on cache-aware prefill-decode disaggregation for long-context model serving.
- **2026-01** — Co-authored a Together AI article on low-latency inference work with Cursor.

## Links

- Website: https://zhangce.github.io/
- LinkedIn: https://www.linkedin.com/in/ce-zhang-6aa37419
- Twitter/X: https://twitter.com/ce_zhang

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Profile page: https://yespress.io/ce-zhang
Published by YesPress — https://yespress.io
Last updated: 2026-09-29