I’m a second-year master’s degree student at the University of Science and Technology of China (USTC), majoring in plasma physics, with an expected graduation date of June 2026. My research interests lie in particle–material interactions, particle transport simulation, and the application of machine learning in physical experiments and simulations.

Academic performance

Throughout my undergraduate years, my overall academic performance is equivalent to or above the level of a UK 2:1 Honours degree (or an equivalent qualification), and I graduated with a GPA of 3.69 out of 5.00, with an average score of 87.02/100, ranking 1st among 98 students in the program.

While pursuing my master’s degree, my overall academic performance is equivalent to or above the level of a UK 2:1 Honours degree (or an equivalent qualification), and I graduated with a GPA of 3.37 out of 4.3, with an average score of about 85/100.

Research Experience

1. Innovative Works Design Competitions: I have actively engaged in numerous innovative works design competitions in China. My participation has yielded a range of inventive devices, such as a traffic tunnel power generation device for safe emergency power supply, a green power generation device based on road tunnel traffic flow, a pressure difference sensing regeneration green power supply device based on liquid pipe network, and a nuclear power reactor safety emergency device. These achievements have earned me 3 provincial or national awards, nearly 10 school-level awards, and successfully led to the application for 3 patents.
2. Mathematical Modeling Competitions: I have actively participated in a range of domestic and international mathematical modeling competitions, gaining valuable experience in addressing interdisciplinary research problems. By applying simulation techniques and machine learning algorithms, I developed effective solutions to complex challenges. My achievements include a Second Prize at the university level in the China National Mathematical Modeling Competition and a Finalist Award (reaching the final round of judging) in the Mathematical Contest in Modeling and Interdisciplinary Contest in Modeling (MCM/ICM) in the United States — setting a record for the highest award ever achieved by my university at the time.
3. Scientific Research Experiment: As an undergraduate student, I joined the Hunan Provincial Engineering Research Center for Uranium Tailings Pond Decommissioning and Treatment Technology and participated in the research on the treatment and utilization of tailings ponds. I successfully applied for one invention patent and published one sci paper finally. During the postgraduate stage, I joined the Neutral Beam Injection Laboratory of Institute Of Plasma Physics, Chinese Academy of Sciences, and engaged in the research on the particle evolution characteristics of the electrostatic residual ion dump in CRAFT-NNBI. One sci paper has been published so far (minor revision pending acceptance), and one invention patent has been applied for (pending public release).

Skills and abilities

• Skill 1: Programming Languages
  • MATLAB: data processing and visualization, machine Learning, PIC-MCC simulation, etc.
  • Python: data processing and visualization, machine Learning, PIC-MCC, etc.
  • C++: Monte-Carlo simulation.
• Skill 2: Modeling & Simulation Tools
  • COMSOL: wind field simulation, particle tracking simulation, plasma simulation, etc.
  • ANSYS: electric field simulation and thermodynamic simulation, etc.
  • SRIM: Monte-Carlo simulation.
• Skill 3: Drawing Tools
  • CAD: drawing two-dimensional plans.
  • SOLIDWORKS: Drawing three-dimensional part and assembly drawings.
• Skill 4: Data Analysis and Visualization
  • Origin: data mapping and optimization.
  • SPSS: machine Learning.
• Skill 5: Experimental Operations
  • Design and production of models.
  • Design, installation and use of diagnostic devices.
  • Operation of laboratory instruments.
• Skill 6: Experimental OperationsOther Skills
  • Office software.
  • Video production and editing
  • … (More skills in development to meet your needs.)

Future Plan

I intend to pursue a long-term career focused on particle–material interactions, particle transport simulations, and the integration of machine learning into physical experiments and numerical modeling. With a solid background in plasma physics and computational methods, I am particularly interested in roles—whether in academia, national laboratories, or industry—that contribute to the development and application of advanced simulation tools and diagnostic techniques. I also aim to explore the broader applications of plasma science in areas such as fusion energy, materials science, and high-energy beam systems. Through continued learning and collaborative research, I hope to make meaningful contributions to both fundamental understanding and practical problem-solving in these fields.