Curriculum Vitae

Ph.D. candidate in computational mathematics working on AI infrastructure, efficient model inference, parallel scientific computing, numerical algorithms, and quantum computing.

Education

Ph.D. Candidate in Computational Mathematics

School of Mathematical Sciences, Fudan University

Research focus: quantum computing and fast algorithms. Advised by Prof. Yingzhou Li.

B.Sc. in Mathematics and Applied Mathematics

School of Mathematical Sciences, Fudan University

Mathematics Talent Program. Awarded Outstanding Graduate of Fudan University.

Engineering & Research Experience

Research Intern, Data Storage Technology Development

Huawei, ICT BG Data Storage Product Line

  • Profile image and video generation inference pipelines and model workload characteristics, with practical understanding of Diffusion, Flow Matching, and Score Matching.
  • Independently designed and implemented MiniMax-H3 SeqAttn and Stream-Attn, combining sequence chunking, streaming execution, and activation offloading to reduce memory pressure while preserving output quality and inference speed.
  • Enabled arbitrary-resolution and arbitrary-duration video generation on consumer GPUs through joint algorithm and systems optimization.

Kimi K3 Training Systems & Activation Offloading

Huawei, ICT BG Data Storage Product Line

  • Independently built the full training software stack for Ascend 910C and 950 systems, including the operating system, drivers, runtime, and distributed-training dependencies; brought up Kimi K3 pruned-model pretraining with FSDP2 on a single-node A3 system with 8 Ascend 910C cards (16 dies, 8 × 2 × 64 GB).
  • Evaluated activation offloading on an A5/Ascend 950 setup with high-speed interconnects and an external memory box; read and traced recomputation and offloading mechanisms in MindSpeed MM and selected activations for offloading at operator granularity.
  • Used MS Insight to analyze forward hotspots and arithmetic intensity, and studied the amount of data that can be offloaded while overlapping computation, I/O, and communication.
  • Analyzed HCCS communication paths and DMA behavior in multi-card communication and activation transfers, achieving about 15% end-to-end speedup over the recomputation baseline.

High-Frequency Futures Quantitative Research

Pengfu Tech

  • Used statistical and machine learning methods to mine alpha factors from tick-level limit-order-book snapshot data.
  • Worked with data from the Chinese commodity futures market to study high-frequency signals and quantitative research workflows.

Parallel PDE Solver

Scientific Computing Project

  • Implemented a parallel Poisson–Boltzmann solver in C++ and MPI using the HIF-SI algorithm library.
  • Ran scaling studies on the Tianhe-3 supercomputer and commercial cloud platforms, focusing on communication, workload distribution, and parallel efficiency.

Macro Placement Algorithm Research

Huawei Collaboration Project

  • Developed and optimized C++ algorithms for 2D macro placement; evaluated results on industrial EDA workloads and merged code into Huawei's internal repository.
  • Improved Open3DBench's 3D macro placement algorithm for placement quality and runtime efficiency.

HPC Cluster Administrator

Fudan University

  • Built and maintain a multi-node HPC cluster, including networking, storage, user environments, and scientific software.
  • Manage compute resources and jobs with Slurm; use Grafana and agent-assisted workflows for metrics collection, anomaly identification, and job analysis.

Publications

2026

Structure-Aware Compilation for Scalable Neutral-Atom Quantum Computing

D. Dong, F. Zou, H. Chen, Zhu, G., & Li, Y. arXiv preprint arXiv:2607.01787.

arXiv:2607.01787
2025

Quantum Circuit for Non-Unitary Linear Transformation of Basis Sets

Zhu, G., Bierman, J., Lu, J., & Li, Y. npj Quantum Information, 11, 198 (2025).

DOI: 10.1038/s41534-025-01145-3
2025

State-Specific Orbital Optimization for Enhanced Excited-States Calculation on Quantum Computers

Zhu, G., Bierman, J., Lu, J., & Li, Y. arXiv preprint arXiv:2510.13544.

arXiv:2510.13544

Honors

  • 2024 Outstanding Graduate of Fudan University
  • 2021 Second Prize, National Undergraduate Mathematics Competition, Shanghai Division
  • 2019 First Prize, National High School Physics Competition, Henan Division

Teaching

  • Spring 2026 Teaching Assistant, Discrete Mathematics
  • Fall 2024 Teaching Assistant, Numerical Linear Algebra and Optimization

Technical Skills

Programming & Systems
C++, Python, CUDA C++, Linux, MPI, Slurm
AI Infrastructure & Training
Ascend 910C/950, CANN, FSDP2, MindSpeed MM, activation offloading, recomputation
Distributed Performance
HCCS, DMA, MS Insight, operator profiling, arithmetic-intensity analysis, compute/I/O/communication overlap
Generative Models
Diffusion, Flow Matching, Score Matching, image and video generation inference optimization
Mathematics
Linear algebra, numerical analysis, stochastic analysis, numerical PDEs, parallel algorithms, scientific computing
Languages
Chinese (native), English (CET-6)