// 01. Expertise & Core Foundations
Specializing in the mathematical foundations of robotics, autonomous navigation, state estimation, and real-time embedded sensor fusion algorithms.
Throughout my career, I have led and mentored teams of PhD and Masters-level engineers in advanced product development, inventing key technologies and filing multiple patents for motion, estimation, and perception systems.
// 02. Current Position
// 03. Deployed Real-Time Products
A selection of embedded real-time sensor fusion and perception algorithms successfully deployed across consumer electronics, satellites, and autonomous driving platforms:
Apple
Deployed 9-axis Kalman Filter Sensor Fusion algorithm for the first time. Provided 3D device orientation and sensor calibration for motion & compass.
InvenSense
Developed Kalman filter-based sensor fusion & calibration running in real-time directly on IMU hardware. Also designed indoor location algorithms using Particle Filters, WiFi, and BLE.
SF Motors (Seres)
Lead Research Scientist developing IMU, GPS, Radar, and LiDAR fusion & perception algorithms for AV navigation using simulation platforms like CarMaker, CarSim, and CARLA.
Xmotors.ai (XiaoPeng Motors)
Developed IMU and GPS fusion perception engines for autonomous vehicle navigation, deployed and validated on AutonomouStuff test fleets.
E-Space
Characterization, modeling, simulation, and integration of satellite sensors including IMUs, Magnetometers, and GNSS receivers.
Nixie & Sensor Platforms
Designed IMU/camera-based hover stabilization algorithms for drone platforms, and Unscented Sensor Fusion for handheld air mouse devices.