I'm an engineer who finds automating solutions to problems extremely gratifying. I want to live in a world where people spend most of their lives exploring hobbies, appreciating art, building communities, and enjoying leisure instead of working ungratifying jobs, worrying about having enough resources to live, living in isolation, and generally being stressed. I believe creating machines that automate solutions to our problems is the path toward this world.

Throughout my college years, I took a fondness for unmanned aerial vehicles (UAVs). What’s powerful about these types of robots is that they are manipulators that can precisely move anywhere in 3D space, making them much more effective in certain situations than grounded machines (e.g. robotic arms, mobile bots, etc.). However, they are limited by today’s computational methods for precise positioning, which is why I want to develop a deep understanding of autonomous aerial vehicle control. So far, I’ve developed a strong mix of theory and practice for the mechanical design, manufacturing, and assembly of drones alongside component implementation and setup (like flight controllers, ESCs, and telemetry). I’ve even competed twice at the Collegiate Drone Racing Championship, where I practiced my first-person view drone racing skills.

Now, I want to go to graduate school to learn and advance the field of robotic control. I want to learn control concepts like incremental non-linear dynamic inversion, trajectory generation, and fault resistance. I then want to use these lessons to invent new, advanced methods of control that will help make drones more independent, solve serious world problems, and allow people to live more fulfilling lives.