I’m a PhD candidate advised by Dr. Simone D’Amico at the Space Rendezvous Laboratory (SLAB) in the Department of Aeronautics & Astronautics at Stanford University. My research interest lies at the intersection of machine learning and spacecraft Guidance, Navigation and Control (GNC) for autonomous vision-based rendezvous and proximity operations in space. Specifically, my research covers the complete pipeline of machine learning development for spaceborne applications, from dataset generation and neural network design to on-ground validation and integration into GNC algorithms. Potential applications of my research include space situational awareness and logistics, such as active debris removal, inspection and refueling of defunct satellites.


2024/06/05 $~~~$ My Ph.D. thesis Robust machine learning for vision-based navigation about non-cooperative resident space objects is now available online!

2024/04/21 $~~~$ Our paper Satellite Pose Estimation Challenge: Dataset, Competition Design, and Results, published in the October 2020 issue of the IEEE Transactions on Aerospace and Electronic Systems, received the M. Barry Carlton Award!

2024/01/29 $~~~$ Our paper Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering has been accepted to ICRA 2024!