About Me
Hi! I’m Zhiwen Mo (莫志文), a first-year PhD student in the Department of Computing at Imperial College London, co-advised by Dr. Hongxiang Fan and Prof. Wayne Luk. My PhD is funded by the ARIA Scaling Compute project via UKRI.
Previously, I was a research intern at Microsoft Research Asia (MSRA), supervised by Dr. Lingxiao Ma and Dr. Jilong Xue, with generous help from Dr. Shijie Cao and Dr. Fan Yang.
I earned my Bachelor’s degree from the School of Microelectronics at Shanghai Jiao Tong University, ranking 1st with a GPA of 3.96/4.3.
I’m broadly interested in ML hardware and systems, particularly in GPU microarchitecture, performance modeling, kernel optimization, and hardware-software co-design.
Email: zhiwen.mo25@ic.ac.uk
📰 News
- June 2025 Presented LUT Tensor Core at ISCA’25. Slides
🎓 Education
- PhD in Computing, Imperial College London
2025–2028 (expected) · Funded by ARIA Scaling Compute (UKRI) - PhD in Electronic Engineering, Shanghai Jiao Tong University (withdrawn)
2022–2024 Zhiyuan Honor PhD Program, ~top 2% - B.Eng. in Microelectronics, Shanghai Jiao Tong University
2018–2022 · GPA: 3.96/4.3 (Ranked 1st)
💼 Internship
Microsoft Research Asia – System Research Group
- GPU performance modeling and kernel optimization
- Hardware for low-bit LLM inference — Microsoft Research Blog
Shanghai AI Laboratory – SoC Design
- Early-stage investigation for wafer-scale chips
📄 Selected Publications
Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang
Zhiwen Mo, et al.
Yu Cheng, Lei Wang, Yining Shi, and Yuqing Xia, Lingxiao Ma, Jilong Xue, Yang Wang, Zhiwen Mo, Feiyang Chen, Fan Yang, Mao Yang, Zhi Yang
👉 See full list at Publications
🏆 Honors & Awards
- UKRI PhD Scholarship, Imperial College London (￡22,780/year, 2025–2028)
- Chinese National Scholarship, Ministry of Education (2020–2022)
- SenseTime Scholarship, Top 30 nationwide in AI (2021)
- Excellent Graduate of Shanghai, awarded by Shanghai (2022)
- First Prize, Arm Cup (East China Division) (2021)
🛠 Technical Skills
- Hardware: Verilog, SystemVerilog
- Software: Python, C/C++, CUDA (incl. profiling with
ncu/nsys), ROCm (incl.rocprof/roccomute), MATLAB
🎨 Misc
Aside from Computer Science:
- 🎹 Classical music lover (with perfect pitch 🎶⭐)
- ⚽ Footballer (center back)
- 🚴 Cycling enthusiast (hands-free rider 😄)
- ☕ Coffee lover
- 🎮 Hardcore fan of HoYoverse/miHoYo
Thanks for stopping by!