Hongbo Chen is a software engineer and PhD candidate at Indiana University with a decade of experience building secure systems for confidential computing and AI workloads. He blends research rigor with production engineering, contributing to open-source projects like Apache Teaclave—adding a WebAssembly executor and protected-file support—to make privacy-preserving computation more practical. His internships at Baidu and Microsoft produced verifiable enclave models, low-overhead forgetful FaaS designs, and GPU-backed confidential inference prototypes, work that culminated in a USENIX Security paper and industry talks. Now at Google DeepMind, he continues to bridge language-based verification techniques and systems engineering to harden ML pipelines, bringing both formal methods and full-stack pragmatism to real-world deployments.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Indiana University Bloomington
Bachelor's degree, Electrical Engineering, Honors Youth Program, Bachelor's degree, Electrical Engineering, Honors Youth Program at Xi'an Jiaotong University
Apache Teaclave (incubating) is an open source universal secure computing platform, making computation on privacy-sensitive data safe and simple.
Role in this project:
Back-end Developer
Contributions:26 reviews, 19 commits, 23 PRs in 7 months
Contributions summary:Hongbo primarily focused on modifying the Teaclave executor, refactoring the executor's payload type and adding a new WebAssembly executor. They integrated support for Teaclave protected files within the WAMR executor and also added context file APIs and examples. Furthermore, the user added deinstantiate function for WAMR executor. These changes indicate an effort to improve the functionality and flexibility of the secure computing platform.
Contributions:149 commits, 10 PRs, 174 pushes in 2 years 10 months
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Hongbo Chen - Software Engineer at Google DeepMind