Recipient of the inaugural 2023 ML Systems Rising Stars award by MLCommons
Awarded the Mavis Future Faculty Fellowship (2023)
Dissertation focuses on integrating learning-based solutions into production cloud systems with efficiency, robustness, and reliability; published in top venues including ATC, NeurIPS, SoCC, OSDI, DSN, MLSys, and AIOps
Multiple papers accepted at top-tier conferences such as SoCC 2025, ASPLOS 2025, ICS 2025, ATC 2024, NeurIPS 2023, OSDI 2020, etc.
Serving on program committees for major conferences (e.g., ATC 2025, MLSys 2026, ICDCS 2025, IEEE CLOUD 2025) and co-organizing ML for Systems Workshops
Invited to give talks at KubeCon, Google SRG, MSR Asia, and multiple universities