Summary
Jerry Lin is a third-year MEng student in Aerospace and Aerothermal Engineering at the University of Cambridge, combining rigorous engineering training with hands-on aerodynamics work for Cambridge University Spaceflight. He brings eight years of technical experience spanning machine learning research, aerospace design, and product support, including a recent project modelling oil tanker fuel consumption with XGBoost and a PyTorch neural network. As a machine learning researcher he translated fluid-mechanics insight into feature selection and robust data-cleaning pipelines, producing results that aligned with experimental measurements and a documented paper. Outside engineering he serves as Organ Scholar at Churchill College, reflecting a disciplined and creative mindset that balances technical depth with extracurricular leadership. Comfortable in both research and applied settings, he has practical experience deploying data-driven models and iterating hardware designs—skills valuable for aerothermal and aeronautical engineering roles.
8 years of coding experience
International Baccalaureate, HL: Mathematics (Analysis and Approaches), Physics, Chemistry SL: English, Geography, Latin, 44 points overall, International Baccalaureate, HL: Mathematics (Analysis and Approaches), Physics, Chemistry SL: English, Geography, Latin, 44 points overall at Whitgift School
Master of Engineering - MEng, ENGINEERING, Master of Engineering - MEng, ENGINEERING at University of Cambridge
English, Chinese