Alessandro Mordasiewicz

Relevant coursework: Orbit Mechanics, Space Traffic Management, Spacecraft Attitude Dynamics, Applied Control in Astronautics, Applied Stochastic Processes, Control System Analysis, Geometric Control Methods

Interests: Spacecraft & launch vehicle GNC, astrodynamics, mission analysis/design, modeling & simulation, software engineering

• Supported the Mission Design group in launch vehicle trajectory optimization productionization and day-of-launch tooling development for the Terran R medium-to-heavy-lift partially reusable launch vehicle.
• Responsible for the creation of launch window generation and evaluation tooling (Python).
• Enhanced robustness of second-stage guidance algorithm for inertial orbit targeting (Rust).
• Conducted preliminary launch vehicle collision avoidance and payload separation analyses (Python).
• Worked in conjunction with the Simulation team for several extensive 6DoF simulation improvements (C++/Python).
• Extensively used Git (via GitLab) for version control.

• Supported the NASA HLS guidance, navigation, & mission analysis group (EV42) under the ESSCA contract.
• Developed Python/MATLAB tools to enhance lunar DEM fidelity for hazard injection and lander tip-over analysis.
• Integrated enhanced lunar DEMs into a 6DoF landing dynamics simulation.
• Verified and validated HLS landing dynamics simulations by reconstructing the Apollo 11 landing.
• Developed a Python landing visualization tool, reducing generation time from 2 hours to 2-3 minutes.
• Extensively used Git (via GitHub) for version control.

• Supported daily Flight Dynamics operations of over 70 active GEO satellites.
• Developed and maintained an interactive web application (Python, React) to analyze critical satellite parameters.
• Developed Python scripts for data visualization in operational flight dynamics software migrating to Linux.
• Evaluated a GPS-based position estimation method against existing state estimation systems for GEO satellites.
• Gained experience with Git for version control, enabling efficient collaboration and code management.

• Compiled FAA certification packages including comprehensive engineering reports, design drawings, and test & computations for Parts Manufacturer Approval (PMA) on FAA Part 23, 25, 27, and 29 category aircraft.
• Created and edited engineering drawings using SolidWorks and Adobe Acrobat for various aircraft parts.

• TA for PHYS 172: Modern Mechanics, the introductory physics course for first-year engineering students.
• Facilitated lab sections of up to 54 students, assisting students in understanding basic physics concepts and programming in Python.

R. M. Ali, A. C. Slagle, A. Mordasiewicz, J. Orphee, and P. J. McDonough, “Apollo 11 Lunar Module Touchdown Dynamics Reconstruction Verification and Validation for Human Landing Systems”, in 48th Annual AAS Guidance, Navigation and Control (GN&C) Conference, Breckenridge, CO, 2026, NASA Technical Reports Server, Doc. ID 20260000331 (https://ntrs.nasa.gov/citations/20260000331).

Programming: Python, C/C++, Rust, Julia, MATLAB, Java, JavaScript, TypeScript (React), HTML/CSS, Bash, Git, R

Other: Simulink, GMAT, FreeFlyer, STK, Azure DevOps, GitHub, GitLab, Microsoft Office, Jira, SolidWorks, Siemens NX