Curriculum Vitae

Education

• Ph.D. Candidate in Computational Mathematics, School of Mathematical Sciences, Fudan University, Shanghai (2024–Present)
  Research Focus: Quantum Computing and Fast Algorithms.

• B.Sc. in Mathematics and Applied Mathematics, School of Mathematical Sciences, Fudan University, Shanghai (2020–2024)
  Awarded Outstanding Graduate of Fudan University.

Internship Experience

• High-frequency Futures Quantitative Research, Pengfu Tech (2026-Present)
  Using statistical and machine learning methods to mine alpha factors from tick-level limit order book snapshot data in the Chinese commodity futures market.

Research

• LLM-RL Fine-tuning Practice (2026–Present)
  Explored load distribution and performance bottlenecks across different stages of PPO, GRPO, and other reinforcement learning algorithms.
  Used the trl library for RL fine-tuning of large language models; improved rollout efficiency with vLLM and studied vLLM/SGLang inference frameworks.
  Evaluated optimizers (Adam, Lion, Muon) and gained experience with multi-GPU training: data/model/pipeline parallelism, DeepSpeed ZeRO, LoRA-based fine-tuning.

• Parallel PDE Solver (2026–Present)
  Implemented high-performance Poisson–Boltzmann equation solver in C++/MPI using the HIF-SI algorithm library, achieving linear scaling with problem size.
  Benchmarking and optimization on Tianhe-3 supercomputer and commercial cloud platforms; tuned communication and load balancing strategies.

• Research on Macro Placement, Huawei Cooperation Project (2024–2025)
  Studied macro placement in chip physical design; surveyed state-of-the-art open-source techniques.
  Developed C++ placement algorithms to improve 2D macro placement in Huawei’s in-house tool; code merged into the internal codebase.
  Optimized Open3DBench’s 3D macro placement algorithm for better layout quality and efficiency.

• HPC Cluster Administrator, Fudan University (2024–Present)
  Set up and maintain a multi-node HPC cluster for the research group; configured network and storage.
  Installed scientific software, managed environments, and user support; monitored cluster health; administered compute resources via Slurm.

• Quantum Computing Algorithm Implementation (2023–2025)
  Implemented quantum algorithms (qOMM, SSVQD) for molecular excited-state energy calculations using Qiskit.
  Code contributed and merged into the qiskit-ecosystem community.

Publications

• Zhu, G., Bierman, J., Lu, J., & Li, Y.
  “Quantum Circuit for Non-Unitary Linear Transformation of Basis Sets.”
  arXiv preprint arXiv:2502.08962, 2025.
  arXiv:2502.08962 To appear in npj Quantum Inf.

  Preprints

• Zhu, G., Bierman, J., Lu, J., & Li, Y.
  “State-Specific Orbital Optimization for Enhanced Excited-States Calculation on Quantum Computers.”
  arXiv preprint arXiv:2510.13544, 2025.
  arXiv:2510.13544

Awards

• 2021 — Second Prize (Shanghai Division), National Undergraduate Mathematics Competition, China.
• 2019 — First Prize (Henan Division), National High School Physics Competition, China.

Technical Skills

• Programming / Tools: Python, C++, Linux, MPI
• Mathematics: Numerical analysis, linear algebra, probability theory

Languages

• Chinese: Native speaker
• English: Fluent (academic and technical writing)

Research Interests

• High-Performance Computing
• Scientific Software Development
• Numerical Algorithms
• Quantum Computing