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About Me

I am a computer science Ph.D. student in the ADSL lab at the University of Wisconsin-Madison, advised by Professor Andrea C. Arpaci-Dusseau and Professor Remzi H. Arpaci-Dusseau. My research interest lies in computer systems, especially in distributed systems and algorithms, operating systems, and cloud storage infrastructure.

My current research focuses on modernizing distributed replication protocols for emerging workloads, such as data-heavy replication and wide-area replication. Previously, I studied file systems and kernel storage stack technologies for new hardware such as persistent memory.

I am working towards graduation this summer, and will join the S3 team at Amazon Web Services as an Applied Scientist starting August 2025. Looking forward to the journey ahead!

/// Keep calm & do good research!
impl<CS> Researcher<CS> for Me {
    // TODO: This method is far from complete.
    fn week(
        &mut self,
        pubs: &Vec<Literature<CS>>,
        proj: &mut Project<CS>,
        comm: &mut Discussion<CS>, 
    ) -> Result<(), Box<dyn Error>> {
        let learning = pubs.collect()?.study()?;
        let progress = proj.hard_work()?;
        let insights = comm.make()?.summarize()?;
        self.meeting(learning, progress, insights)?;
        Ok(())
    }
}

If you don’t mind wasting a few seconds of your life, take a look at these projects:

• Summerset: a distributed, replicated, protocol-generic KV-store framework written in async Rust for unified state machine replication (SMR) research purposes.
• MadKV: template of a well-designed KV-store project series for the distributed systems course at my school. Uses for teaching purposes elsewhere are very welcome.
• Hux OS kernel: a weekend operating system kernel project built to be minimal and understandable. I documented my development of Hux into a complete set of wiki pages.
• Garner: demonstrating hierarchical validation for optimistic concurrency control (OCC) on a B+-tree database index.
• Codetective: a client-side WASM app enabling code AI authorship analysis in five clicks.

… and more on my GitHub profile page!

Work Experience

2025.08 - 20−−.−−	Applied Scientist at Amazon S3 ↩︎	Amazon, Seattle
2024.05 - 2024.08	Applied Scientist Intern at Amazon S3 ↩︎	Amazon, Seattle

Education

2020.08 - 2025.07	Ph.D. Candidate in Computer Science ↩︎	UW-Madison
2019.09 - 2020.07	Special Student Program ↩︎	MIT
2019.07 - 2019.09	Summer Research Intern ↩︎	UCLA
2016.09 - 2020.07	B.Eng. in Computer Science ↩︎	ShanghaiTech

For my teaching experience and services for the research community, please check out my CV.

Comments welcome! 😉

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