Summary
Maggie Wang is a robotics-focused PhD student in Aeronautics and Astronautics at Stanford with eight years of experience building autonomy systems that span motion planning, control, computer vision, and deep learning. She previously developed path planning, trajectory algorithms, and robust docking for commercial drones at Skydio and built perception and keypoint pipelines for manipulation in MIT/Stanford research groups. A NASA NSTGRO fellow collaborating with JPL, she now works on implicit, physics-grounded world models for space robotics while also co-creating The Overview, a growing resource for aspiring aerospace engineers. Maggie blends strong academic credentials from Harvard (Physics AB, CS SM) with hands-on embedded and flight software experience (Pixhawk/C++, NVIDIA Jetson), and brings an unusual mix of technical rigor and creative pursuits—photography, writing, and painting—that inform her multidisciplinary approach to autonomy.
8 years of coding experience
7 years of employment as a software developer
Gunn High School
Physics A.B., Computer Science S.M., Physics A.B., Computer Science S.M. at Harvard University
Doctor of Philosophy - PhD, Aeronautics and Astronautics, Doctor of Philosophy - PhD, Aeronautics and Astronautics at Stanford University
English, Chinese