Alvin Cheung

Alvin Cheung is an Associate Professor at the University of California at Berkeley, affiliated with the Department of Electrical Engineering and Computer Sciences (EECS). He leads the Data Systems and Foundations group, Programming Systems group, Sky Lab, and SLICE Lab, while also serving as a faculty affiliate at the Berkeley Institute for Data Science. His research focuses on integrating data management, programming languages, and software systems to develop tools for scalable data processing pipelines and improved data programming experiences.

• PhD students advised: Sahil Bhatia, Mick Kittivorawong, Jongseok Park

Research keywords include Data Management, Programming Languages, Program Synthesis, Formal Verification, and Machine Learning. His recent work explores Verified Lifting techniques for database applications, stencil computations, and cloud systems, alongside novel programming paradigms for geospatial video analytics and speculative decoding.

His publications from 2023-2025 demonstrate trends in LLM-driven code optimization, automated SQL equivalence, and neural code generation across domains like tensor operations and geospatial video systems. Notable scientific achievements include the Dahl-Nygaard Prize (2024), VLDB Early Career Award (2023), and CHI Best Paper Award (2021).