Biography

🫡 Hi, I am a combined B.S./M.S. student in Computer Science at the University of Washington.

I am broadly interested in computer systems and computer graphics. On the systems side, I work on end-to-end SLO–aware scheduling in microservices, building schedulers that use end-to-end deadlines and downstream workload estimation to improve goodput under overload. I am fortunate to collaborate with Ph.D. student Shihang Li, advised by Professors Simon Peter and Ratul Mahajan.

Previously, I worked in the Syfi Lab with Ph.D. student Yile (Michael) Gu and Professor Baris Kasikci on application-level crash-consistency testing. We developed a representative testing framework that groups similar crash states to make testing both scalable and accurate, leading to a paper accepted to OOPSLA 2025.

I also enjoy graphics work. Advised by Professor Gilbert Bernstein, I am exploring optimizations to the rendering pipeline in 3D Gaussian Splatting, such as clustering-based techniques to reduce sorting overhead and improve runtime and memory usage in real-time 3D reconstruction.

In my spare time, I enjoy staying active with tennis rallies and traveling, with a special fondness for trying ice creams at local shops.

Education

• Combined B.S./M.S. in Computer Science
  University of Washington, Seattle, WA
  2021 – Present (expected graduation 2026)

Publication

• Scalable and Accurate Application-level Crash-Consistency Testing via Representative Testing.
  Yile Gu*, Ian Neal*, Jiexiao Xu, Shaun Christopher Lee, Ayman Said, Musa Haydar, Jacob Van Geffen, Rohan Kadekodi, Andree Quinn, Baris Kasikci. OOPSLA 2025 (*equal contribution)