> Markdown version of [/@mingshen-sun](https://www.wearedevelopers.com/@mingshen-sun). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mingshen Sun Research and Engineering Lead at TikTok focusing on trusted computing and privacy. ## About Mingshen Sun leads research and engineering for trusted computing at TikTok's Privacy Innovation Lab. He builds systems that keep user data secure without sacrificing the ability to run complex algorithms at scale. His recent work focuses on deploying privacy-enhancing technologies across massive microservice architectures and designing verifiable, private environments for running large language models. Before his current role, he initiated the Apache Teaclave open-source project and earned his PhD from the Chinese University of Hong Kong. He also advises the Confidential Computing Consortium. ## Past Sessions ### World Congress 2026 Europe 路 July 8, 2026 Berlin, Germany - [Building Trust Through Private and Verifiable AI](https://www.wearedevelopers.com/videos/100013-building-trust-through-private-and-verifiable-ai) 路 30 min 路 馃帴 Watch recording ### World Congress 2025 路 July 9, 2025 Berlin, Germany - [Safeguarding Sensitive Data Access At Scale with Privacy-Enhancing Technologies](https://www.wearedevelopers.com/events/world-congress-2025/sessions/535-safeguarding) 路 30 min ### World Congress 2024 路 July 17, 2024 Berlin, Germany - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) 路 30 min 路 馃帴 Watch recording ## Videos - [Building Trust Through Private and Verifiable AI](https://www.wearedevelopers.com/videos/100013-building-trust-through-private-and-verifiable-ai) 路 Mingshen Sun - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) 路 Mingshen Sun ## Links - [LinkedIn](https://www.linkedin.com/in/mssun/)