Hello! I'm a Mechanical Engineering and Physics student at the University of Sydney pursuing a career in Formula 1, with a focus on simulation, vehicle dynamics, and performance engineering. I've built my profile around the technical skills that matter most at the top level of the sport, which are lap time simulation, tyre modelling, data analysis, and structured performance development, and I'm actively seeking an industrial placement for 2027.

My practical experience is grounded in Formula Student, where I work as a Performance Engineer using MoTeC i2 to analyse drivetrain and cooling data. A key output of my work was converting ICE telemetry to identify motor operating targets, with an average of 5,400 rpm and 5.4 Nm around Eastern Creek, directly informing our 2027 EV powertrain selection. I also design and lead structured test manoeuvres to evaluate balance, grip, compliance, and driver performance, mirroring the kind of methodical, hypothesis-driven testing that defines F1 performance work.

Alongside my degree, I've independently developed a suite of Python-based simulation tools including a tyre model analysing sensitivity to thermal effects and degradation, a lap time simulation quantifying aerodynamic trade-offs and sector performance, and a pitwall telemetry dashboard for driver comparison and stint analysis. With the pitwall telemetry tool using real track data, together they reflect both my technical capability and my understanding of how simulation feeds into performance decision-making at a race team.

I've completed industry training in vehicle dynamics, performance engineering, and lap-time simulation with ChassisSim through Motorsport Engineer, and hold a first-class equivalent WAM of 83 from a rigorous dual degree. I'm looking to bring this combination of academic depth, simulation experience, and genuine motorsport passion into an F1 environment where I can contribute from day one.