Guanzhong Yang firmly believes the university provides him with the platform that allows him to access those exclusive vocational resources, and he is always ready to make the best use of them.
In July 2025, at Inspur Cloud Technology Company, as an intern at the Medical Education Cloud Business Uni, Guanzhong Yang developed a multithreaded text processing system to efficiently convert and structure over 1000 pages of technical content. He successfully designed and implemented quality control measures to correct formatting issues, including mixed punctuation and hierarchical misalignment, by analysing recurring issues.
In December 2025, Guanzhong Yang was selected from 600+ candidates to participate in a 10-person quantitative Research and Trading team at Queen’s Tower Capital. Here, he supported alpha generation, backtesting pipelines, and statistical validation of trading strategies, and conducted hands-on experience in signal construction, volatility modelling, factor analysis, and scenario testing. He not only assisted in validating model robustness, but also evaluated strategy deployment metrics for simulated portfolios.
In January 2026, Guanzhong Yang participated in the Startup Hackathon co-organised by the Imperial Entrepreneurs Society and Headstart. Within an intensive one-hour challenge, he and his teammates conducted a deep dive into critical pain points in the logistics industry. Focusing on high-demand scenarios such as semiconductor cleanrooms, they designed and proposed an innovative solution, the MAGLIFT, from the ground up. Presenting to an audience of 100+ peers and industry judges, they secured a Top 3 finish out of 30+ competing teams.
In February 2026, Guanzhong Yang secured the top 30% at the 2026 Imperial Algothon held by IMC and the Imperial Algorithmic Trading Society. He priced 8 instruments using external data pipelines (tidal harmonic analysis, Monte Carlo simulation, finite difference Greeks), fused model and market signals via Bayesian updating with dynamic confidence weighting, and implemented a full trading stack covering Avellaneda-Stoikov market-making with live parameter calibration, ETF basis arbitrage with dynamic thresholding, z-score directional signals with streak decay, and delta-gamma hedging for non-linear payoffs.
In March 2026, Guanzhong Yang and his teammates was awarded ‘Best Use of External Sources’ at the 2026 Imperial Datafest held by American Statistical Association and Imperial College Department of Mathematics. They integrated 2020 RUCA census external data with 4 years of multi-million de-identified hospital records, executed geospatial visualization, stratified urban-rural quantitative analysis, and builtLASSO regression (5-fold cross-validation, L1 regularization) & logistic regression models to isolate key drivers of care gaps. Eventually, they quantified a 2.4x urban-rural gap in high-risk patient OSA diagnosis rates, plus material disparities in 30/90-day follow-up continuity and digital health adoption; delivered 3 evidence-based, actionable healthcare service optimization strategies.
Since September 2025, Guanzhong Yang has been invited to visit many widely famous companies in person, including Jane Street, HSBC, Lazard, Bank of America, Amazon Web Services and so on. This demonstrates Guanzhong Yang’s long-term vision and professional ambitions.
Every company visited is a door opened; every coding program written is a brick laid on the path toward mastery. This portfolio is not merely a record; it is a blueprint of becoming, a map of skills acquired and horizons yet to reach.