Bryce Doerr

Bryce Doerr Email and Phone Number

Senior Guidance, Navigation, and Control Engineer @ Vast
Greenbelt, MD, US
Bryce Doerr's Location
Greenbelt, Maryland, United States, United States
Bryce Doerr's Contact Details

Bryce Doerr personal email

n/a
About Bryce Doerr

Hello and welcome to my page! My name is Bryce Doerr, and I am an aerospace engineer at the NASA Goddard Space Flight Center. I have experience in areas of optimal control, convex optimization, estimation, and reinforcement learning for space systems. My interests include spacecraft, robotics, and swarms. If you have any questions or comments, you can message me on Linkedin or my email.Thank you for visiting my page!

Bryce Doerr's Current Company Details
Vast

Vast

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Senior Guidance, Navigation, and Control Engineer
Greenbelt, MD, US
Website:
vastspace.com
Employees:
886
Bryce Doerr Work Experience Details
  • Vast
    Senior Guidance, Navigation, And Control Engineer
    Vast
    Greenbelt, Md, Us
  • Nasa Langley Research Center
    Guidance, Navigation, & Controls Engineer (Detail)
    Nasa Langley Research Center Jun 2024 - Present
    Hampton, Virginia, Us
    - Developed a high fidelity tank and particle slosh model for dynamics propagation of spacecraft rendezvous and docking for the Artemis missions- Incorporated the slosh model into the high fidelity spacecraft simulation environment through Simulink
  • Nasa Goddard Space Flight Center
    Attitude Control Systems (Acs) Engineer
    Nasa Goddard Space Flight Center Sep 2019 - Present
    Greenbelt, Md, Us
    Roman Space Telescope ACS Model Validation- Validated SRP, star tracker, command generation, and data ingest models on the high-fidelity simulation environment for verification efforts- Verified ACS Stationkeeping and Maneuver Mode Requirements by Monte Carlo sims of varied inputparameters.- Produced phasing test procedures for thruster modes for gyro, star tracker, tachometer, and DV inputs.Mars Sample Return Capture, Containment, and Return System (CCRS)- Actively produced high-fidelity models of the Earth entry vehicle (EEV) upon release- Developed methods for targeting the EEV trajectory to mitigate effects of SRP
  • Nasa Goddard Space Flight Center
    Attitude Control Systems (Acs) Analyst
    Nasa Goddard Space Flight Center Sep 2018 - Sep 2019
    Greenbelt, Md, Us
    WFIRST Mission ACS & Momentum Management- Analyzed stability of control algorithms for uncertainty in reaction wheels during slews- Developed algorithm that sets reaction wheel speeds while collecting science in the presence of disturbances to mitigate effects from structural modesPre-Proposal Spacecraft Mission Design- Defined ACS requirements for a future astrophysics mission- Actively prototyped a working ACS simulation incorporating the mission objective- Iteratively sized and modeled ACS components in simulation to meet mission requirements
  • Massachusetts Institute Of Technology
    Postdoctoral Fellow
    Massachusetts Institute Of Technology Oct 2019 - Sep 2021
    Cambridge, Ma, Us
    Fellowship through the Intelligence Community (I.C.) Postdoctoral Research Fellowship ProgramMy research work includes:- Investigation of collision-free path planning & optimization for on-orbit robotic assembly of space structures- Development of precise & safe maneuvers for assembly by characterizing inertial properties of payloads - Hardware testing of algorithms & operations on the Astrobee free-flying robotic testbed at NASA Ames- Flight testing of algorithms on the ISS Astrobees under the ReSWARM TS-1 and ReSWARM TS-2 missions
  • Nasa Jet Propulsion Laboratory
    Attitude Control Lead
    Nasa Jet Propulsion Laboratory May 2021 - Aug 2021
    Pasadena, Ca, Us
    - Formulated science objectives for an Ocean Worlds (Enceladus) mission from the NASA New Frontiers 4 AO and Decadal Survey- Formalized the scientific measurement requirements from the physical parameters and observables from the mission’s science objectives- Developed mission with Team X at JPL and presented the Mission Architecture study to the review board for feedback
  • University Of Minnesota-Twin Cities
    Research Assistant
    University Of Minnesota-Twin Cities Jan 2017 - Sep 2019
    Minneapolis And St. Paul, Minnesota, Us
    - Developed optimal control (Iterative-LQR) techniques for satellite swarm localization and control via random finite set statistics through the JPL STTR Phase 1- Linearized and quadratized the non-quadratic objective function using a Taylor Series Expansion- Developed multi-target estimation of swarms for random finite set control- Developed centralized and decentralized techniques for random finite set control of swarms
  • Air Force Research Laboratory
    Space Scholar - Space Vehicles Directorate
    Air Force Research Laboratory May 2017 - Aug 2017
    Wright-Patterson Afb, Oh, Us
    - Developed dual estimation and control techniques for the spacecraft attitude problem- Determined the limits of LQG for the nonlinear problem- Explored the Path-Integral Method for dual control (simultaneous control and estimation)- Performed Markov Chain Monte Carlo sims via Hamiltonian Monte Carlo to decide dual control
  • University Of Minnesota
    Teaching Assistant
    University Of Minnesota Jan 2015 - May 2016
    Minneapolis And St. Paul, Minnesota, Us
    - Resolved students’ questions and inquiries in Aerodynamics and Flight Dynamics class.- Graded students’ Aerodynamics and Flight Dynamics homework.- Led the senior Aeromechanics Lab class and became knowledgeable in wind tunnels, hot wire experiments, flow visualization in water tunnels, tensile test machines, photo-elasticity, signal analyzers, and oscilloscopes.
  • University Of Minnesota
    Lab Assistant
    University Of Minnesota Jan 2014 - May 2015
    Minneapolis And St. Paul, Minnesota, Us
    - Prototype an open-source, low-cost, modular flight research infrastructure- Directly contribute to designing and constructing the aircraft- Explored the design of the UMN Flight Computer System- Developed skills in structural analysis and layups with composites while assisting in UAV construction- Took responsibility for documenting team procedures and proposing improvements for the next UAV- Observed and analyzed the flight computer's control system during prototype testing- Prototyped a new air data system, including CAD modeling and wind tunnel testing- Learned machining skills and used various tools to develop and test prototypes- Contributed to the calibration of alpha and beta vanes during wind tunnel testing- Explored the possibility of calibrating air data probe's vanes to the aircraft using the UMN Flight Computer System
  • Nasa - National Aeronautics And Space Administration
    Summer Intern (Simulation Branch)
    Nasa - National Aeronautics And Space Administration Jun 2015 - Aug 2015
    Washington, Dc, Us
    - Conducted PRANDTL-D aircraft simulation and flight tests to prove the theory- Adapted Coresim in Simulation Branch to verify bell-shaped lift distribution via simulation- Refined simulation code to accommodate PRANDTL-D's aerodynamics, mass, and control surfaces- Used aerodynamic and mass data from the aircraft to ensure accurate simulation- Emphasized testing the aircraft simulation in a manner similar to flight tests for verification- Verified flight data to support Prandtl's theory of a bell-shaped distribution - Contributed to understanding the efficiency of bell-shaped lift distribution in aviation
  • Nasa - National Aeronautics And Space Administration
    Aeronautics Intern
    Nasa - National Aeronautics And Space Administration Jun 2014 - Aug 2014
    Washington, Dc, Us
    - Integrated UMN Flight Computer into PRANDTL-D aircraft during NASA internship- Led sub-team in achieving autonomous flight and data collection for analysis- Developed and designed wiring diagrams, troubleshooted circuit design using voltmeters and oscilloscopes- Contributed to the creation of control laws for the aircraft based on sensor data- Created a flow visualization model of PRANDTL-D aircraft using AVL software and water tunnel- Produced and modified a 3D wing model for flow visualization, successfully tested- Participated in a tech brief meeting with NASA committee to ensure mission safety- Presented a detailed analysis of the non-flight tested flight computer, flight plan, test matrix, and safety measures- Obtained permission to fly after committee inspection

Bryce Doerr Skills

Matlab Microsoft Office Solidworks Mathematics Java C++ Linux Windows Laser Cutting Soldering Leadership Communication Latex Python

Bryce Doerr Education Details

  • University Of Minnesota
    University Of Minnesota
    Aeronautical And Astronautical Engineering
  • University Of Minnesota
    University Of Minnesota
    Aeronautical And Astronautical Engineering
  • University Of Minnesota
    University Of Minnesota
    Aeronautical And Astronautical Engineering

Frequently Asked Questions about Bryce Doerr

What company does Bryce Doerr work for?

Bryce Doerr works for Vast

What is Bryce Doerr's role at the current company?

Bryce Doerr's current role is Senior Guidance, Navigation, and Control Engineer.

What is Bryce Doerr's email address?

Bryce Doerr's email address is bd****@****mit.edu

What schools did Bryce Doerr attend?

Bryce Doerr attended University Of Minnesota, University Of Minnesota, University Of Minnesota.

What are some of Bryce Doerr's interests?

Bryce Doerr has interest in Science And Technology.

What skills is Bryce Doerr known for?

Bryce Doerr has skills like Matlab, Microsoft Office, Solidworks, Mathematics, Java, C++, Linux, Windows, Laser Cutting, Soldering, Leadership, Communication.

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