B.Sc. in Computer Science, The University of Chicago.
I'm a third-year CS PhD at The University of Illinois-Urbana Champaign, advised by Prof. Tianyin Xu.
I work on agentic systems reliability: I design system-side frameworks and tooling support to reduce or eliminate the impacts of unreliable agent behaviors.
LLM-powered agents are inherently nondeterministic in their behaviors, preventing us from applying them in systems where guarantees are desired (e.g., cluster management systems). My research focuses on providing reliability and gurantees on the AI agents. The efforts include using formal verification on the agent's behaviors to provide guarantees (WIP), building benchmarks to evaluate the agent's reliability, providing systems-side frameworks that prevent any harmful behaviors, or providing tooling support for the agent at runtime to mitigate them.
My research has culminated in SREGym, a live SRE benchmark with high-fidelity SRE incidents to evaluate SRE agent's incident diagnosis and mitigation capabilities, NSVIF, an agent harness that improves trustworthiness of agent output through formal methods, Stratus, a multi-agent systems that enables autonomous SRE incident management through a transaction-like semantics, and previously, HotGPT, trying to understand the edges and limits of LLMs before time.
Before working on agents, I focused on distributed systems reliability. My research focused on the semantics challenge of managing traditional distributed systems (e.g., Apache Cassandra) on cloud-native platforms (e.g., Kubernetes). Large-scale distributed software have complicated management semantics that are hard to capture in management programs (termed "operators"). We conducted an effort to understand and detect such semantics bug in operator programs, which is accepted into NSDI '26. We found 86 bugs (53 confirmed and 28 fixed) in popular operators of distributed systems.
A short bio can be found here.
I'm extremely fortunate to be able to mentor and work with these students.
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My past life... here