Long before CourtSight had a name, it began on a badminton court. We first met at a local badminton event during our university years, when Julian was completing his bachelor's degree and Dong and Liang were pursuing their PhDs. Badminton quickly became our common ground. We played regularly, and our conversations often drifted from the rallies themselves to bigger questions: where was the sport heading, and how could it become even better, not only for the people playing it but for the people watching it?
A few years later, watching Dong and Liang work on computer vision projects, Julian saw an opportunity to bring that technology into badminton performance analysis. The idea inspired him to pursue a PhD of his own, exploring how video could reveal the way players move, decide and adapt during competition.
CourtSight was born on a weekday evening in May 2026. Cooling down after one of our regular games, we found ourselves returning to the same conversation we had been having for years, and this time we agreed there would never be a better moment than now. Whatever the outcome, we would rather build it and learn along the way than keep wondering what might have been. Today, we are still the same three friends who met through badminton, now building the tools we always imagined the game could have.
Sport scientist with expertise in strength and conditioning and performance analysis, and a PhD specialising in badminton match analysis. Julian leads our analytical framework, performance metrics, data modelling and the delivery of tactical insights.
Aerospace engineer, 3D printing researcher, and computer vision specialist who completed the BWF-funded project on automated service fault detection system, ranked in Stanford's top 2% of scientists worldwide. Guo Dong leads vision systems, sensor systems, real-time processing, shuttlecock tracking and app development.
Aerospace engineer, 3D printing researcher, and computer vision specialist who completed the BWF-funded project on automated service fault detection system. Guo Liang leads single- and multi-camera 3D shuttlecock trajectory reconstruction, player pose tracking, real-time vision development and on-court deployment.