Tim Macdonald Email & Phone Number
@machindustries.com
3 phones found area 209 and 509
LinkedIn matched
Who is Tim Macdonald? Overview
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Tim Macdonald is listed as Head of Flight Sciences at Mach Industries, a with 164 employees, based in Irvine, California, United States. AeroLeads shows a work email signal at machindustries.com, phone signal with area code 209, 509, and a matched LinkedIn profile for Tim Macdonald.
Tim Macdonald previously worked as Co-founder and CTO at Exosonic, Inc. and PhD Candidate at Stanford University Aerospace Design Laboratory. Tim Macdonald holds Doctor Of Philosophy - Phd, Aeronautics And Astronautics from Stanford University.
Email format at Mach Industries
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AeroLeads found 1 current-domain work email signal for Tim Macdonald. Compare company email patterns before reaching out.
About Tim Macdonald
Aerospace engineering leader with extensive experience in aircraft design, build, and test, multidisciplinary optimization, and technical project management. Co-founded an aerospace startup, driving the development of next-generation supersonic and uncrewed aircraft, bringing two sUAS vehicles to flight, and interfacing with USAF and commercial customers in contracts valued at $3M+. Holds a PhD from Stanford University in aircraft design methodology and has made numerous individual contributions to MDAO software development in professional and academic contexts including publications in this area.
Listed skills include Microsoft Office, Matlab, Solidworks, Comsol, and 9 others.
Tim Macdonald's current company
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Tim Macdonald work experience
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Co-Founder And Cto
Current- Co-founded an aerospace company initially focused on development of low-boom supersonics and later on UAS platforms for defense applications in multiple size classes and speed regimes. Built the engineering team to 15+ members and secured $3M+ in contracts with another $5M+ in private funds. - Led a multidisciplinary team through early-stage requirement development and design efforts for a Mach 1.8, 70 passenger low-boom supersonic transport, a supersonic adversary air vehicle, and a next-generation supersonic aerial target, as well as design, part procurement, build, and test for multiple small UAS. - Documented results internally through system description documents for each vehicle iteration, and externally through progress reports, deliverables, design reviews, and periodic status presentations for USAF and commercial customers.- Brought two small uncrewed aircraft from conceptual design to first flight: a turbine-powered subscale adversary air demonstrator (Group 2 size with a ground station) and an electric-powered delivery prototype (Group 1).- Developed test plans and conducted sUAS subsystem testing, including engine tests, sensor checkouts, and control power evaluation.- Managed creation and testing of a Python-based MDAO suite in a version-controlled environment (Git), encompassing major disciplines such as aerodynamics, propulsion, and mass properties at multiple fidelity levels.- Individually developed aircraft sizing and optimization tools for all vehicle classes within our MDAO suite. Key implementations included integration with external aerodynamic programs, weight estimation methods for sUAS, and mission profiles based on customer requirements.- Contributed to vehicle configuration development using OpenVSP and CATIA V5, including inboard profile, structural arrangement, and LO considerations. - Directed low-speed wind tunnel testing for a model of the supersonic airliner at the University of Washington.
Phd Candidate
- Developed capabilities for a new conceptual Python-based aircraft design and optimization tool known as SUAVE which was built to handle unconventional designs. Publicly available at suave.stanford.edu.- Implemented methods to automatically generate vehicle geometries through OpenVSP and evaluate performance at multiple fidelities including direct CFD evaluation through SU2. Included multi-fidelity optimization methods that made use of additive corrections and trust regions for high accuracy with fewer high-fidelity function evaluations.- Researched multi-fidelity methods for aerodynamic performance prediction in transonic flow for PhD thesis. This culminated in a new method that uses derivative-augmented shape-preserving response prediction to model 2D to 3D transformations of transonic CFD results for wings characteristic of current transonic aircraft. This showed up to a 5x speed improvement in the wing design process.- Adapted legacy Fortran code to interface with a parallelized Python driver as part of the CFD optimization routine.
Course Assistant
ME271: Aerodynamic Drone DesignDesigned homework assignments, held office hours, and graded assignments. Course covered aerodynamic design of airfoils and propellers.
Course Assistant
AA241A/B: Introduction to Aircraft Design, Synthesis, and AnalysisHeld office hours and graded assignments. Course covered all major disciplines needed to design a commercial aircraft at the conceptual level.
Research Assistant
- Used FEA software to conduct modal analysis of structures used in the LIGO program. Models were primarily constructed with SolidWorks and analyzed using ANSYS.- Took measurements on-site at LIGO Hanford to determine the cause of problematic resonance characteristics. Measurements were done with the Brüel & Kjær PULSE modal analysis system.- Assisted with the design of future cryogenic systems through FEA modeling and hardware testing.
Engineering Intern
- Worked in the supply management engineering group to help reduce cost of building commercial airplanes. Engaged with Boeing engineers and suppliers to assess needs and gather information on technical requirements.
Research Assistant
- Constructed and modified assemblies with SolidWorks to be imported for testing in ANSYS. FEA included modeling many structures with various materials and constraints to extract modal data for use in comparison with real structures and in developing new structures.- Measured modal data of real structures using Brüel & Kjær PULSE modal analysis software. Created models to compare with simulated structures and to determine methods to dampen or eliminate problem frequencies.
Engineering Intern
- Built and tested thermal spacecraft subsystem models with CAD and finite element analysis tools to verify designs. - Developed an independently conceived software tool designed to significantly reduce the time required and the error potential in constructing element maps for new models.
Tim Macdonald education
Doctor Of Philosophy - Phd, Aeronautics And Astronautics
Master Of Science (Ms), Aeronautics And Astronautics
Mechanical Engineering, Aerospace
Frequently asked questions about Tim Macdonald
Quick answers generated from the profile data available on this page.
What company does Tim Macdonald work for?
Tim Macdonald works for Mach Industries.
What is Tim Macdonald's role at Mach Industries?
Tim Macdonald is listed as Head of Flight Sciences at Mach Industries.
What is Tim Macdonald's email address?
AeroLeads has found 1 work email signal at @machindustries.com for Tim Macdonald at Mach Industries.
What is Tim Macdonald's phone number?
AeroLeads has found 3 phone signal(s) with area code 209, 509 for Tim Macdonald at Mach Industries.
Where is Tim Macdonald based?
Tim Macdonald is based in Irvine, California, United States while working with Mach Industries.
What companies has Tim Macdonald worked for?
Tim Macdonald has worked for Mach Industries, Exosonic, Inc., Stanford University Aerospace Design Laboratory, Ligo Group At Stanford University, and Boeing.
How can I contact Tim Macdonald?
You can use AeroLeads to view verified contact signals for Tim Macdonald at Mach Industries, including work email, phone, and LinkedIn data when available.
What schools did Tim Macdonald attend?
Tim Macdonald holds Doctor Of Philosophy - Phd, Aeronautics And Astronautics from Stanford University.
What skills is Tim Macdonald known for?
Tim Macdonald is listed with skills including Microsoft Office, Matlab, Solidworks, Comsol, Ansys, Python, C++, and Assembly Programming.
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