Christopher Busic Email & Phone Number
Who is Christopher Busic? Overview
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Christopher Busic is listed as Aerospace Engineer (GN and C) at Intuitive Machines, a company with 384 employees, based in Spring, Texas, United States. AeroLeads shows a matched LinkedIn profile for Christopher Busic.
Christopher Busic previously worked as Aerospace Engineer (GN&C) at Intuitive Machines and M&S Intern at Intuitive Machines. Christopher Busic holds Master Of Science - Ms, Aerospace, Aeronautical And Astronautical/Space Engineering, 3.85 from The University Of Texas At Austin.
Email format at Intuitive Machines
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About Christopher Busic
Experienced Undergraduate Research Assistant with a demonstrated history of providing valuable contributions to university research groups, as well as industry. Industry experience using C, C++ and Python Programming. Certified in the use of Autodesk AutoCAD and Autodesk Inventor. Committed to solving the next generation of problems facing the astronautics industry.
Christopher Busic's current company
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Christopher Busic work experience
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Aerospace Engineer (Gn&C)
Current- Supporting control system design and analysis for upcoming IM missions.
M&S Intern
- Architected, developed, and verified first-phase refactor of IM’s in-house simulation environment towards utilizing Object-Oriented Programming for vehicle configuration, data loading, and NASA Trick interfacing during.
- Architected, developed, and verified first-phase refactor of IM’s in-house simulation environment towards utilizing Object-Oriented Programming for vehicle configuration, data loading, and NASA Trick interfacing during.
- Refactored in-house Monte Carlo software suite to allow for greater ease of use during configuration, data loading, and interfacing with NASA Trick Suite (C++, NASA Trick Suite, Python).
- Developed temperature and pressure-related models for NOVA-C Simulation Environment for application in fuel, oxidizer ullage, and RCS gas, fluid and tank models (C++, Python). Show less
M&S Intern
- Developed navigation-based Covariance Analysis Tool (CAT) in Python for integration with DELTA (Dynamic Environment for Launch Trajectory Analysis) simulation used to support experimental Air Force flight program.
- Developed GPS Error Model in DELTA simulation.
- Modified CAT architecture to adopt “Pythonic” standards and efficiencies, replacing existing Fortran-like code structure.
Flight Modeling And Simulations Intern
- Developed and analyzed deep reinforcement learning guidance agents for coaxial vehicle in Python (PyTorch, Captum).
- Developed Python low-fidelity M&S environments for reinforcement learning training and analysis processes.
- Developed “time-to-go” prediction model using machine learning toolbox in Python (PyTorch).
Flight Modeling And Simulations Intern
- Developed ballistic payload trajectory prediction model using machine learning toolbox in Python (Tensorflow).
- Implemented Python prediction model in C++ for deployment into an onboard flight software suite.
- Studied payload prediction model design using a 3-DOF simulated model developed in Python and reported results directly to Section Manager for software application.
Undergraduate Research Assistant
- Analyzed the mechanical properties of asteroid simulant regolith for data supporting potential aerobrake application.
- Collected empirical data on asteroid simulant regolith for application in a NASA Innovative Advanced Concepts Funding Proposal in partnership with Deep Space Industries.
- Effectively demonstrated oral communication skills during teleconference meetings with Deep Space Industries engineers, scientists and business executives.
Entry, Descent And Landing Team Lead- Nasa L'Space Mission Concept Academy
- Collaborated with team members from engineering schools across the US to develop a Preliminary Design Review for a theoretical Martian Water Quality Analyzation Mission.
- Researched Entry, Descent and Landing (EDL) methods for small Martian payloads, with the intent of satisfying numerous weight and dimensional constraints placed on the EDL vehicle by NASA mentors.
- Conducted preliminary failure-mode analysis on both the theoretical Martian entry vehicle and payload in order to… Show more
- Conducted preliminary failure-mode analysis on both the theoretical Martian entry vehicle and payload in order to identify critical areas for redundancy to ensure mission success. Show less
Colleagues at Intuitive Machines
Other employees you can reach at intuitivemachines.com. View company contacts for 384 employees →
Edward Hovan
Colleague at Intuitive Machines
Bolton, Connecticut, United States, United States
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Zachary Bluth
Colleague at Intuitive Machines
Fresno, California, United States, United States
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Willis Li
Colleague at Intuitive Machines
San Francisco, California, United States, United States
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Prasun Mahanti
Colleague at Intuitive Machines
United States, United States
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Igboke Matthew
Colleague at Intuitive Machines
Nigeria, Nigeria
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Guadalupe Hurtado
Colleague at Intuitive Machines
Houston, Texas, United States, United States
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Gary Spexarth, P.E.
Colleague at Intuitive Machines
Greater Houston, United States
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Daniel Brack
Colleague at Intuitive Machines
Golden, Colorado, United States, United States
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BP
Bryan Patrick
Colleague at Intuitive Machines
Columbia, Maryland, United States, United States
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JP
John Pierangelo
Colleague at Intuitive Machines
Phoenix, Arizona, United States, United States
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Christopher Busic education
Master Of Science - Ms, Aerospace, Aeronautical And Astronautical/Space Engineering, 3.85
Bachelor Of Science - Bs, Aerospace, Aeronautical And Astronautical Engineering, 3.98
Frequently asked questions about Christopher Busic
Quick answers generated from the profile data available on this page.
What company does Christopher Busic work for?
Christopher Busic works for Intuitive Machines.
What is Christopher Busic's role at Intuitive Machines?
Christopher Busic is listed as Aerospace Engineer (GN and C) at Intuitive Machines.
Where is Christopher Busic based?
Christopher Busic is based in Spring, Texas, United States while working with Intuitive Machines.
What companies has Christopher Busic worked for?
Christopher Busic has worked for Intuitive Machines, Mclaurin Aerospace, Dynetics, Inc., Tickle College Of Engineering At The University Of Tennessee, and Nasa - National Aeronautics And Space Administration.
Who are Christopher Busic's colleagues at Intuitive Machines?
Christopher Busic's colleagues at Intuitive Machines include Edward Hovan, Zachary Bluth, Willis Li, Prasun Mahanti, and Igboke Matthew.
How can I contact Christopher Busic?
You can use AeroLeads to view verified contact signals for Christopher Busic at Intuitive Machines, including work email, phone, and LinkedIn data when available.
What schools did Christopher Busic attend?
Christopher Busic holds Master Of Science - Ms, Aerospace, Aeronautical And Astronautical/Space Engineering, 3.85 from The University Of Texas At Austin.
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