About Me

Hi, this is Peiyi He! Welcome!

I am a third year Ph.D. student in the Department of Electrical and Computer Engineering at The University of Hong Kong, supervised by Prof. Can Li. Currently, I’m working on various fully integrated memristor-based content addressable memory chip design, such as ternary CAM and analog CAM. I am also working on fast, efficient and accurate genomic analysis with emerging analog in-memory computing hardware.

Prior to Hong Kong, I received my B.Eng. degree from School of Integrated Circuits, Tsinghua University in 2023, where I worked on content addressabel memory design for few-shot learning as my final-year project. During my undergraduate studies, I was also fortunate to have the opportunity to complete a summer research internship at Hong Kong University of Science and Technology. If you are interested in my research and looking for academic discussion, feel free to reach out to me through email!

---

Research Interests

• In-memory Computing
• Neuromorphic Computing
• Bioinformatics
• Computational Biology

---

News and Updates

• April 2026: Achieved first silicon success on a 28 nm fully integrated memristor content addressable memory chip. Cheers!
• August 2025: One paper about real-time genomic analysis is accepted by Nature Computational Science. Cheers!
• June 2024: ShiftCAM is accepted by ICCAD 2024. See you in New York!
  

---

Selected Publications

• ShiftCAM: A Time-Domain Content Addressable Memory Utilizing Shifted Hamming Distance for Robust Genome Analysis
  Peiyi He, Ruibin Mao, Keyi Shan, Yunwei Tong, Zhicheng Xu, Muyuan Peng, Ruibang Luo, and Can Li.
  The 43rd IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2024). New York, USA. October, 2024.

• Real-time raw signal genomic analysis using fully integrated memristor hardware
  Peiyi He, Shengbo Wang, Ruibin Mao, Mingrui Jiang, Sebastian Siegel, Giacomo Pedretti, Jim Ignowski, John Paul Strachan, Ruibang Luo, Can Li.
  Nature Computational Science 5, 940–951, 2025.

---

© 2026 Peiyi He. Published with GitHub Pages, powered by Jekyll.