2024 payload: A single 5 axis robotic arm in conjunction with an electromagnetic ejector to test the viability of compact robotics in space. Using a new eye-in-hand mounting scheme for our depth camera, we are using machine vision to track and grasp objects in microgravity. We are utilizing similar ROS (melodic) software to our previous payloads, but this year we have included more advanced robotic positioning prediction algorithms as well as object trajectory predictions using machine vision.2023 payload: A pair of 7-axis robotic arms used to play "catch" with each other in space to test the viability of a robust robotics system as well as a robust and widely applicable robotics control system using ROS. I led the software and electrical teams and contributed to the mechanical development of the payload. 2022 payload: I developed a soft robotic experiment to be tested in space through a custom hydraulic actuation system.

Chair of IEEE student branch at Northwest Nazarene University.

Project sagebrush developed a network of low-power, wireless sensors to monitor the health of sagebrush populations in southern Idaho to predict possible wildfire sites. While working on this project, I coded the devices to communicate using Bluetooth Low Energy and aided in the development of the instrumentation circuitry for the custom laser induced graphene sensor aboard each sensor tag. At the conclusion of the project, I co-authored a summary research paper that won the best paper award at the Opportunity Research Scholars Symposium. This provided us with the opportunity to present our research at the 2023 IEEE Digital Twin and Parallel Intelligence conference in Orlando, Florida.