Curriculum Vitae

Education

Ph.D. in Electrical Engineering, Stanford University

• Research focus: computer architecture, high-level synthesis, domain-specific hardware accelerators

B.S.E. in Computer Science, University of Michigan, May 2024 (expected)

• Minor in Civil Engineering
• Enrolled in the College of Engineering Honors Program
• GPA: 4.0/4.0 with 144 completed credits

Work experience

• Winter 2026: Teaching Assistant
  • CS 217: Hardware Accelerators for Machine Learning, Stanford University, Stanford, CA
  • Duties included: designing lab assignments, leading weekly discussion sections on ML accelerators and FPGA implementation
  • Supervisor: Prof. Thierry Tambe and Kunle Olukotun
• Fall 2024: Research Assistant
  • Stanford University, Stanford, CA
  • Duties included: research on heterogeneous memory systems for AI accelerators
  • Supervisor: Prof. Thierry Tambe
• Summer 2023: Software Test Engineer Intern
  • ASML Silicon Valley, San Jose, CA
  • Duties included: automating regression testing for computational lithography software
  • Supervisor: Mingjing Zhao
• Winter 2023: Instructional Aide
  • Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI
  • Duties included: managing lab sessions and office hours for CEE 375: Sensors and Circuits course
  • Supervisor: Dr. Jeff Scruggs
• Summer 2022: Research Assistant
  • University of Michigan Transportation Research Institute, Ann Arbor, MI
  • Duties included: data collection and input for development of HumanShape model
  • Supervisor: Dr. Jingwen Hu
• Summer 2021: Software Engineering Intern
  • Dell EMC, Shanghai, China
  • Duties included: performing integration testing on VxRail HCI software
  • Supervisor: Carl Shi

Skills

• Programming skills: C/C++, Python, Java, JavaScript, x86/ARM/RISC-V assembly, SystemVerilog
• Software skills: TensorFlow, PyTorch, TensorBoard, Git, Jira, Confluence, MATLAB, LLVM, Docker, Mathematica, Adobe Premiere Pro
• Language skills: English (proficient), Mandarin Chinese (native)

Publications

A Communication Protocol for Securing Connected Vehicle Platoons Using Joint Hardware-Software Means

Peijing Li and Neda Masoud. 2023. A communication protocol for securing connected vehicle platoons using joint hardware-software means. In 6th Student Poster Competition at the CCAT Global Symposium, April 05, 2023. Center for Connected and Automated Transportation, Ann Arbor, MI. Retrieved from https://ccat.umtri.umich.edu/symposium/2023-symposium/#poster

OpenGCRAM: An Open-Source Gain Cell Compiler Enabling Design-Space Exploration for AI Workloads

Xinxin Wang, Lixian Yan, Shuhan Liu, Luke Upton, Zhuoqi Cai, Yiming Tan, Shengman Li, Koustav Jana, Peijing Li, Jesse Cirimelli-Low, Thierry Tambe, Matthew Guthaus, and H.-S. Philip Wong. 2025. OpenGCRAM: An Open-Source Gain Cell Compiler Enabling Design-Space Exploration for AI Workloads. https://doi.org/10.48550/arXiv.2507.10849

GainSight: A Unified Framework for Data Lifetime Profiling and Heterogeneous Memory Composition

Peijing Li, Matthew Hung, Yiming Tan, Konstantin Hoßfeld, Jake Cheng Jiajun, Shuhan Liu, Lixian Yan, Xinxin Wang, Philip Levis, H.-S. Philip Wong, and Thierry Tambe. 2025. GainSight: A Unified Framework for Data Lifetime Profiling and Heterogeneous Memory Composition. https://doi.org/10.48550/arXiv.2504.14866

The Future of Memory: Limits and Opportunities

Samuel Dayo, Shuhan Liu, Peijing Li, Philip Levis, Subhasish Mitra, Thierry Tambe, David Tennenhouse, and H.-S. Philip Wong. 2025. The Future of Memory: Limits and Opportunities. https://doi.org/10.48550/arXiv.2508.20425

Towards Memory Specialization: A Case for Long-Term and Short-Term RAM

Peijing Li, Muhammad Shahir Abdurrahman, Rachel Cleaveland, Sergey Legtchenko, Philip Levis, Ioan Stefanovici, Thierry Tambe, David Tennenhouse, Caroline Trippel, and H.-S. Philip Wong. 2025. Towards Memory Specialization: A Case for Long-Term and Short-Term RAM. In Workshop on Disruptive Memory Systems (DIMES ’25), October 13, 2025. Association for Computing Machinery, Seoul, Korea (South), 10. https://doi.org/10.1145/3764862.3768175

Academic Projects

Implementation and evaluation of a nested, variable-depth UNet++ model architecture for medical imaging segmentation

Investigation of representation of accidents in car-following models

An out-of-order, super-scalar implementation of the RISC-V ISA in the style of the P6 micro-architecture

A tour of accelerator architectures for AI/ML applications

“Patchouli”: Performance Analysis and Tiling Choice Optimization Using LLVM IR