Curriculum Vitae 个人简历
Academic and professional history. 学术背景与职业经历。
Professional & Teaching Experience
Graduate Teaching Assistant
Sep 2023 – PresentLearning Assistant
Jan 2020 – May 2020IT Audit Summer Intern
Jun 2019 – Jul 2019Corporate & Financial Analyst Intern
Jul 2017Education
PhD in Physics
March 2023 – PresentMaster (MSc) in Physics
Oct 2021 – Oct 2022Bachelor of Science in Physics and Mathematics
Graduated May 2021Funding, Scholarships & Awards
Conference Travel Support
2026PhD Scholarship
2022Dean's List
2018–2021职业与教学经历
研究生助教
Sep 2023 – Present学习助理
Jan 2020 – May 2020IT 审计暑期实习生
Jun 2019 – Jul 2019企业与金融分析师实习生
Jul 2017教育背景
物理学博士
March 2023 – Present物理学硕士 (MSc)
Oct 2021 – Oct 2022物理与数学双学士
Graduated May 2021奖学金与荣誉
会议差旅资助
2026博士奖学金
2022院长嘉许名单
2018–2021Scientific & Technical Skills
- Computational Physics & Modeling: Multi-scale spin dynamics modeling; atomistic simulations (VAMPIRE package) and micromagnetic modeling (MUMAX3)
- Programming Languages: Python (NumPy, Pandas, SciPy), C, Java, Wolfram Mathematica
- High-Performance Computing (HPC): ARCHER2 (HPE Cray), Cirrus (CentOS), Imperial College HPC nodes — workload deployment, job scheduling, parallel execution
- Data Analysis & Scientific Visualization: ParaView, Povray, MATLAB, Mathematica, Gnuplot
- Hardware & Experimental Electronics: Oscilloscopes, digital multimeters, analog circuit troubleshooting (op-amps, transistors, diodes, voltage regulators)
- Statistical Data Processing: Gauss error propagation, Binomial/Poisson/Gaussian distributions, numerical interpolation
- Financial Computing: Microsoft Excel for structural data analysis and optimization
- Languages: Chinese Mandarin (native), English (Full Professional Proficiency / Fluent)
Publication Metrics
- Published: 7 peer-reviewed journal articles (Nature Communications, Advanced Materials ×2, Advanced Functional Materials, ACS Nano, npj Spintronics, Physical Review A)
- Joint first-author contributions: 2 papers (Advanced Materials 2026, Physical Review A 2021)
- Journal Cover feature: Advanced Materials 2311591 (2024)
- Total citations: rapidly growing across computational magnetism and 2D spintronics communities
Biographical Summary
I am a computational condensed matter physicist specializing in the spin dynamics of two-dimensional van der Waals (vdW) materials. My research harnesses high-performance computing to bridge atomistic spin dynamics and micromagnetic simulation techniques with cutting-edge experimental data, uncovering the complex physics governing topological spin textures like skyrmions.
I investigate low-dimensional magnetic architectures — including Cr2Ge2Te6, Cr2Si2Te6, Fe3GeTe2, Fe3GaTe2, and CrTe2 — to reproduce complex magnetic phases and validate experimental discoveries. My work spans GPU-accelerated micromagnetic simulations, atomistic spin dynamics, and large-scale HPC workloads on ARCHER2, Cirrus, and DiRAC.
I actively collaborate with international groups at Argonne National Laboratory, the National High Magnetic Field Laboratory (Florida), USTC (China), KAIST (Korea), UCL, and Imperial College London. My teaching experience includes leading computational physics laboratories and serving as a graduate teaching assistant for advanced undergraduate courses at the University of Edinburgh.
科研与技术技能
- 计算物理与建模: 多尺度自旋动力学;原子级模拟(VAMPIRE 程序包)及微磁学建模(MUMAX3)
- 编程语言: Python(NumPy、Pandas、SciPy)、C、Java、Wolfram Mathematica
- 高性能计算(HPC): ARCHER2(HPE Cray)、Cirrus(CentOS)、Imperial College 计算节点——作业部署、调度及并行执行
- 数据分析与科学可视化: ParaView、Povray、MATLAB、Mathematica、Gnuplot
- 硬件与实验电子学: 示波器、数字万用表、模拟电路故障排查(运算放大器、晶体管、二极管、稳压器)
- 统计数据处理: 高斯误差传播、二项/泊松/高斯分布、数值插值
- 金融计算: 使用 Microsoft Excel 进行结构化数据分析和优化
- 语言能力: 中文(母语)、英语(完全职业水平 / 流利)
发表概况
- 已发表同行评审期刊论文:7 篇(含 Nature Communications、Advanced Materials ×2、Advanced Functional Materials、ACS Nano、npj Spintronics、Physical Review A)
- 联合第一作者贡献:2 篇(Advanced Materials 2026、Physical Review A 2021)
- 入选期刊封面:Advanced Materials 2311591(2024)
- 引用量在计算磁学与二维自旋电子学领域持续快速增长
个人简介
我是一名计算凝聚态物理研究者,主要研究方向为二维范德瓦尔斯(vdW)磁体中的自旋动力学。我利用高性能计算将原子级自旋动力学与微磁学模拟方法相结合,与前沿实验组紧密协作,揭示斯格明子等拓扑自旋结构背后的复杂物理机制。
我研究多种低维磁性体系——包括 Cr2Ge2Te6、Cr2Si2Te6、Fe3GeTe2、Fe3GaTe2 和 CrTe2——通过数值模拟重现复杂磁相与自旋结构,验证实验发现并阐明微观物理机理。研究工作依托 ARCHER2、Cirrus 及 DiRAC 等平台的 GPU 加速微磁学模拟和大规模并行计算。
我先后与 Argonne 国家实验室、美国国家强磁场实验室、中国科学技术大学、韩国 KAIST、伦敦大学学院(UCL)、帝国理工学院等机构的课题组开展国际合作。教学方面,我负责计算物理实验课的教学,并担任爱丁堡大学高年级本科课程的助教。