Olivia Hsu

Assistant Professor, Electrical and Computer Engineering

Bio

Olivia Hsu is an Assistant Professor of Electrical and Computer Engineering at Carnegie Mellon University. Her research lies at the intersection of compilers, computer architecture, and programming languages, spanning programming languages and digital VLSI. She develops hardware–software systems for efficiently executing complex, data-dependent workloads on next-generation hardware architectures. Her recent work includes sparse tensor compilation, compilation and mapping for heterogeneous domain-specific accelerators, dataflow abstractions for hardware, and reconfigurable spatial architectures.

Her research has been recognized with a Distinguished Paper Award at PLDI 2023, and honors including the NSF Graduate Research Fellowship, Rising Stars in EECS, and the Alton B. Zerby and Carol M. Korner Outstanding Student Award. Prior to joining Carnegie Mellon University, she was a postdoctoral researcher at Stanford University, where she also earned her Ph.D. and M.S. in Computer Science, advised by Kunle Olukotun and Fredrik Kjolstad.

Education

PhD 2026 
Stanford University 
Computer Science (CS)

MS 2025
Stanford University 
Computer Science (CS)

BS 2019
University of California, Berkeley
Electrical Engineering and Computer Science (EECS)

Research

Keywords

• Programming languages and Compilers
• Computer systems
• Computer architecture
• Programming Systems for Emerging Hardware
• Parallel Computing
• Domain-Specific Systems
• Hardware Accelerators
• Data-dependent and Irregular Computation
• Hardware-Software Co-design