Ryan Muetzel – Goddard Space Flight Center

Describe what you did during your internship:

I had two tasks in the internship. The first was to familiarize myself with MagicDraw MBSE modeling. To do so, I was given a training project to learn the systems, so I could later build tools that would integrate with MagicDraw development. During the training project, the design decisions were also intended to be used an example training guide for future systems engineers. The second task was to develop a tool for test plan creation. The goal was to create a series of AI agents that would take functional requirements, create test plans for each requirement, and then consolidate test plans where they overlap to increase testing efficiency. These test plans would still need to be reviewed by professional system engineers, but this tool was designed to bootstrap the initial phases of systems engineering and skip a lot of the initial work typically incurred at the start of a project.

Did you achieve your goals?

Both projects went really well. The training model was completed quickly, and I learned a lot to help me in the second task. This basically taught me the process for completing the three tasks listed in the project goal, which I leveraged to improve development of the test plan processing software. The final output from the second task was successful, and I created a proof of concept system that was able to process the majority of requirements into usable test plans for systems engineering development. The solution is not yet perfect and there are a handful of issues that need to be handled in the future. However, the final program that I had created lays the groundwork for future development to revolutionize how systems engineering work is done.

Describe positive lessons learned:

I learned a lot during this experience. I took a deep dive into learning how systems engineering development works, especially at the onset of a project. This was also my first experience working with an AI agent for a dedicated task. Training and tuning the AI’s output was certainly a learning experience, and taught me a lot about what they can and cannot be used for.

Describe negative lessons learned:

I think the main negative lesson I learned is that there may not always be a solution, at least with the current mindset. Looking at a problem or architecture from a different perspective can reveal the real issue or at least provide insights into the issue at hand. A mindset change, based on a new perspective, may reveal that the current idea is not feasible and requires a new approach. This was a painful lesson for me to learn, when I realized I needed to rebuild my architecture for the second project, but making that change and rebuilding let me make a successful final solution.

What was the impact of this internship?

This internship has shown me how software and AI can be used to solve real-world engineering problems, especially in space missions where reliability is critical. It’s made me more interested in working on tools that support large, complex engineering projects.

Gabe Holden – Marshall Space Flight Center

 

Describe what you did during your internship:

Throughout this internship, I was able to get hands-on experience performing first unit integration and testing of software-defined radios and high-power radio amplifiers. This allowed me to gain many insights into intentional design decisions that are made for space environments and interfaces between hardware, firmware, and software and their integration. Throughout this, I significantly deepened my understanding of Python by writing automated tests, firmware interfaces, and testing user interfaces. I also have significantly expanded my knowledge of secure RF communication theory and digital signal processing through mentoring sessions with engineers and on-the-job learning resources provided by Collins. Lastly, I was also able to assist with requirements traceability work and test procedure development, giving me a valuable insight into this important work that ensures customers receive working hardware to fulfill their missions.

Did you achieve your goals?

All of my objectives were completed over the course of the internship. I established reliable DAQ methods, extracted accurate motor parameters, and implemented FOC, supporting the creation of validated Simulink models and improved motor control. These outcomes advanced ER-63’s testing capabilities and provided practical tools for future users.

Describe positive lessons learned:

My favorite part of being with NASA has been the contagious amount of passion circling around. Everyone has an open door and are ready to share their work with you. Interning with NASA is much deeper then just coming into work for eight hours every day to complete a few tasks. There is purpose and meaning behind work given to interns and it is an incredibly cool opportunity to be a part of. I have learned endless amounts of information, as shared in this report, that I have never touched and may not touch in class.

Describe negative lessons learned:

This summer has presented trialing times to NASA as an entirety, this has forced some uneasy and uncertain situations. As an intern it has been challenging to unfold the chances of returning.

 

Halle Hoefing – University of Northern Iowa

My academic research project focuses on expanding the understanding of Bombus griseocollis population genetics using RADSeq and WGS, while extracting DNA with minimum tissue through a non-lethal collection method. Over the past year, I have extracted flight muscle from the thoraxes of bees and utilized PCR, gel electrophoresis, and Ugene software to analyze concentration and similarity.

This past summer, I adapted methods used in the study (Mola et al., 2021) that used tarsal clippings of bees for DNA instead of killing and freezing the entire bee. This resulted in a smaller yield of DNA to work with, but still produced a viable amount. This will allow me to potentially continue this project with an endangered species or population without it being lethal. I tested this method on bees currently in the lab to find the amount of tissue needed for quantifiable results, and then I plan to proceed to a new population. In addition, B. griseocollis has not had a published whole genome, and my project may eventually lead to the publication of this species’ whole genome sequence which can provide reference for other researchers.

Emily Formella – University of Iowa

Spaceflight-associated neuro-ocular syndrome (SANS) is a major health concern for individuals who spend extended periods of time in low Earth orbit, particularly long-duration astronauts. This condition is characterized by increased intracranial pressure, retina structural changes, and visual impairment. Exposure to microgravity has been identified as a primary risk factor, yet the underlying cellular mechanisms are not fully understood. Microgravity is known to disrupt the biomechanical signaling in many human cell types, and comparable disruptions are associated with pathological changes in retinal pigmented epithelial (RPE) and potentially choroidal vascular endothelial (ChEC) cells in other ocular diseases.

We aim to characterize the impact of simulated microgravity on the gene expression of RPE and ChEC cells and investigate the role of mechanotransduction signaling in this response. Using cells cultured on microcarrier beads suspended within a rotating bioreactor, we simulate microgravity by balancing sedimentation and centrifugal forces. We will evaluate cells for changes in gene expression, viability, and function compared to Earth gravity. We can also assess the effects of introducing small-molecule inhibitors known to disrupt mechanotransduction, such as Rho Kinase Inhibitors, which have demonstrated therapeutic uses in ophthalmology.

This project aligns with the NASA Mission Directorates by addressing a physiological risk that affects human safety and performance during spaceflight. Space exploration is an important endeavor, but it can only be sustained if we uphold the health and safety of astronauts. By advancing our understanding of cellular responses to microgravity, this research will provide insight into countermeasures that support astronaut health and performance.