Experienced multidisciplinary scientist and engineer with expertise in both research and product development. Specialized in multi-modal sensing, computer vision, machine learning, geometry modeling and computational imaging. Ten years of industry experience, eight as a full-time engineer.
Currently, I am a Sr. Applied Scientist at Apple, where I research and build innovative human-machine interaction products using multi-modal sensing and machine learning technologies.
Prior to joining Apple, I was a Research Scientist at Amazon Prime Air - Amazon's drone delivery program. I was part of the Autonomous Perception team and developed perception algorithms and machine learning models for autonomous flight, collision avoidance and safe landing.
Prior to joining PrimeAir, I completed my PhD at the Electrical Engineering department at Stanford, where I was awarded the Stanford Interdisciplinary Graduate Fellowship for innovative multidisciplinary research, in collaboration with the Stanford Neuroscience Institute - SNI. At Stanford I was advised by Prof. Leonidas Guibas, head of the Geometric Computing and Artificial Intelligence lab.
Before (and during) my PhD, I had the opportunity to work on some very interesting projects - check out my resume and projects page.