3x founder, 2x venture-backed. Currently building
https://www.trackattack.app
I love building products and companies and helping other founders. I grew up in Syd but live in SF.
When I’m not coding, you can find me out on the racetrack with Team Track Attack!
Prior to building Track Attack I was founder & CEO of Navisens, a venture-backed robotics startup that combined machine learning and robotics estimation techniques to build the most accurate real-time location technology available using only the sensors inside your mobile device. Navisens was based on my PhD in robotics where I developed a unique machine learning methodology for inertial navigation with patents granted in the US, Korea, and China.
At the time there wasn’t an Inertial Measurement Unit (IMU) which was small enough, so I designed and manufactured my own MEMS IMU, with my own cooperative multitasking RTOS and real-time estimation codebase in C++. Launch video:
https://youtu.be/uoJaacwlKFg
Prior to Navisens I worked as a post-doctoral research fellow with a focus on Simultaneous Localization and Mapping (SLAM) using an odometery-less approach with an IMU and LIDAR for map building and localization of an autonomous wheelchair.
During my PhD I was a researcher at the University of California, Berkeley working on the 2007 DARPA Urban Challenge, the now well-known driverless car competition held by the US government which spurred research in autonomous vehicles. I also lectured in engineering, teaching courses in robotics, digital electronics, and embedded software.
Prior to my PhD, I studied Electrical Engineering and worked on an autonomous drone for my undergraduate thesis where I was awarded a scholarship and moved directly to a PhD.