01
What I worked on
I led the team’s system-design work and developed a multivariate model for weather and trajectory prediction. The model brought several physical inputs together rather than treating the flight as a single-variable problem.
The work combined modelling with team coordination: relating the scientific questions to the system the group was designing and giving the analysis a role in the larger project.
- 01Physical variables
- 02Weather & trajectory model
- 03Predicted behavior
02
Coordinating a team of six
Our team had six members. Alongside the modelling, I designed a Notion workflow for tasks and communication, breaking the system-design work into pieces the team could assign and follow.
The model needed physical inputs, the system needed a measurement objective, and team members needed to understand one another’s progress. Coordinating those dependencies was part of the science project.
03
A physical setting for the mathematics
CanSat projects bring the tasks of a satellite into a small student-built system. They connect scientific objectives with design constraints, measurements and a plan for interpreting the resulting data.
For me, the project was an opportunity to apply mathematics and physics beyond an exam question. A prediction has to be related to something a system can actually measure.
04
The wider academic context
The project sat alongside my A-level studies in Mathematics, Further Mathematics, Physics, Chemistry and Mandarin. I also took part in mathematical and physics competitions and served as editor-in-chief of the school journal From Stardust.
Together, those activities gave me practice approaching technical material in different ways: solving a problem, coordinating a project, and presenting ideas for a reader.
As lead editor of the STEMM publication From Stardust, I coordinated student contributors and oversaw publication quality. Reviewing technical writing from a reader’s perspective complemented the work of leading the CanSat team.