Karen Chiang Leineweber

Karen Chiang Leineweber has over 10 years of professional work experience. Karen Chiang began their career in 2007 as a Business Analyst Intern at Exis Consulting, Inc. In 2008, they worked as an Undergraduate Research Assistant at Columbia University Optical Structures Laboratory. In 2010, they became a Graduate Research Assistant at Cornell GPS Laboratory, where they specialized in GNSS/GPS receiver algorithms, nonlinear estimation, dynamical systems, and control theory. Karen Chiang developed a robust GPS/GNSS receiver algorithm for highly dynamic signals. From 2014 to 2017, they worked at MDA as an International Member of Technical Staff and MTS Space Missions. In this role they proposed, designed, and implemented GNC upgrades on two autonomous planetary rover prototypes. Karen Chiang also built calibration/registration algorithms for a Lidar+IR system, developed and tested a rudimentary sensor fusion algorithm, and constructed a MATLAB tool for Canadarm2’s LEE-Grapple fixture. Since 2017, they have been a Senior Engineer at Point One Navigation, where they have been leading the development of robust, global monocular visual SLAM and visual-inertial odometry for urban canyons and GNSS-denied environments. Karen Chiang has also designed and implemented sensor-fused GNSS/INS algorithms for a precise navigation software solution.

Karen Chiang Leineweber earned a PhD in Aerospace Engineering, Mechanical Engineering, and Electrical & Computer Engineering from Cornell University between 2009 and 2014. Prior to that, they earned a BS in Applied Physics, Applied Mathematics, and Economics from Columbia University between 2005 and 2009.