News. [Jul 2026] Our paper FEAT: Fair and Efficient Adversarial Transaction Ordering is officially published at PODC 2026.

News. [Jun 2026] Our paper Fides: Scalable Censorship-Resistant DAG Consensus via Trusted Components is accepted at VLDB 2026.

News. [Jun 2026] I joined Sei Labs, Inc. as a Research Scientist.

I am a Research Scientist at Sei Labs, Inc.. I recently completed my Ph.D. in Computer Science at the Exploratory Systems Lab (ExpoLab), UC Davis, advised by Prof. Mohammad Sadoghi. My research designs and builds high-performance, fault-tolerant distributed systems that operate reliably at large scale, the foundational infrastructure for next-generation distributed database and blockchain platforms.

My current interests include fault-tolerant distributed consensus, fair transaction ordering, transaction scheduling, and parallel execution. My work has appeared at VLDB, SIGMOD, PODC, DISC, and ICDE, including HotStuff-1 (SIGMOD 2025; Honorable Mention for Best Artifact), FairDAG (PVLDB Vol. 19), Carry the Tail (DISC 2025), and Spotless (ICDE 2024). In summer 2025, I was a Research Intern at Mysten Labs, where I worked on transaction scheduling for Multi-proposer consensus. I received my B.Eng. in Software Engineering from Zhejiang University in 2022.

Open-source

I serve as an Architect of ResilientDB, an Apache-incubator distributed ledger that unifies secure transactional and real-time analytical processing under a decentralized computational model. Since 2022, my colleague Junchao and I have re-architected its modular system design from the ground up, embedding parallelism and deep pipelining at every layer to fully exploit modern hardware. I have implemented its production consensus engines, including PBFT, HotStuff-1, and FairDAG.

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