About
I use this site to make my academic development, technical practice, and selected creative work easier to inspect over time.
I am a Mathematics and Physics student at UCL, building a profile around scientific computing, mathematical modelling, computational physics, and trumpet performance.
I am a first-generation university student from Shanghai, China. Studying abroad has not been a straight or comfortable path; recent family financial and housing pressure has made the route more uncertain and more urgent. I include this context carefully because it explains why I care about discipline, long-term research preparation, and making visible progress rather than treating the site as a polished surface only.
My long-term aim is to pursue doctoral research and build a life through mathematics, physics, computation, and sustained creative practice.
University College London
Current undergraduate route across mathematical methods, quantum physics, electromagnetism, statistical physics, scientific computing, and planned Year 3 advanced modules.
UCL Centre for Languages & International Education
Overall 83%, Pass with Distinction. Subject marks: Mathematics 92%, Physics 85%, Science and Society 79%, Academic English 77%. Under the official UPC conversion, 76%+ corresponds to UPC A* and A-level A*, so all four subject marks were A* equivalent.
Shanghai Foreign Language School Affiliated to SISU, Minhang Foreign Language School (上海外国语大学闵行外国语中学)
Pre-university academic background in Shanghai, alongside twelve years of trumpet study, six years of section leadership, and an early computational drug-design project on HIV protease docking.
A compact map of tools and methods I am using or actively building into academic projects.
Numerical modelling, simulation, plotting, and reproducible experiments.
Libraries and toolchains connected to ML self-study and quantum-computing work.
Data handling, plotting, result checks, and interpretation for technical work.
Tools used to turn calculations and notes into shareable public artifacts.
Quantum computing study connected to computational physics, algorithms, and reproducible scientific computing.
Scientific-computing practice around reaction-diffusion simulation, parameter sweeps, and performance-aware implementation.
Highest performance level certificate awarded by the Shanghai Musicians Association in December 2020.
Potential open-course learning record to add after completion or verified enrollment.
Potential certificate area connected to Python, data analysis, or numerical methods.
Potential AI/ML self-study credential to add when there is a completed course record or credential link.
Outside formal study and portfolio work, I keep basketball, physical training, and music as regular parts of life. They give me structure, team habits, and a way to stay grounded during demanding periods.
My module history, planned Year 3 direction, current self-study, and links between coursework and public outputs are collected on the Learning Route page. I keep the full course map there so this About page can stay focused on identity, interests, and skills.
Open Learning RoutePortfolio assistant