Contributed to several open-source projects such as MemGPT, Skyplane, etc.; published multiple academic papers, including 'Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud' (NSDI 2024) and 'RALF: Accuracy-Aware Scheduling for Feature Store Maintenance' (VLDB 2024), among others.
Research Experience
Works in Sky Computing, previously at RISELab. Her research focuses on designing data systems for machine learning and cloud technologies.
Education
Undergraduate degree from MIT, majoring in computer science and math; PhD advisors are Ion Stoica and Joseph E. Gonzalez.
Background
Currently a fourth-year PhD student at UC Berkeley, with research interests including systems for ML, data systems, and the cloud. Before Berkeley, she founded Glisten AI, which builds AI to categorize and tag product data and was part of Y Combinator's W20 batch.
Miscellany
Conducted research at CSAIL's Supertech Group; Glisten AI featured on Techcrunch; wrote about feature stores for RISELab.