Christopher Busic
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Christopher Busic Email & Phone Number

Aerospace Engineer (GN and C) at Intuitive Machines
Location: Spring, Texas, United States 8 work roles 2 schools
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Current company
Role
Aerospace Engineer (GN and C)
Location
Spring, Texas, United States
Company size

Who is Christopher Busic? Overview

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Quick answer

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.

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Intuitive Machines

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Profile bio

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.

Current workplace

Christopher Busic's current company

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Intuitive Machines
Intuitive Machines
Aerospace Engineer (GN and C)
Spring, TX, US
Employees
384
AeroLeads page
8 roles

Christopher Busic work experience

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Aerospace Engineer (Gn&C)

Current

Houston, Texas, United States

  • Supporting control system design and analysis for upcoming IM missions.
May 2023 - Present

M&S Intern

Houston, Texas, United States

  • 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
May 2021 - Aug 2021

M&S Intern

Knoxville, Tennessee, United States

  • 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.
Aug 2020 - May 2021

Flight Modeling And Simulations Intern

Huntsville, Alabama, United States

  • 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).
May 2020 - Aug 2020

Flight Modeling And Simulations Intern

Huntsville, Alabama

  • 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.
May 2019 - Aug 2019

Undergraduate Research Assistant

Knoxville, Tennessee Area

  • 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.
Oct 2017 - May 2019

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
Jan 2019 - Apr 2019
Team & coworkers

Colleagues at Intuitive Machines

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2 education records

Christopher Busic education

Bachelor Of Science - Bs, Aerospace, Aeronautical And Astronautical Engineering, 3.98

Activities and Societies: Graduated Summa Cum Laude | Member of the Honors Leadership Program | NASA RASC-AL Martian Ice Mining Challenge.

FAQ

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?

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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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