Dan Regan
About Dan Regan
Dan Regan is a Senior Ground Software Engineer at Rocket Lab, skilled in STK, Python, C#, TensorFlow, and OpenCV. With a background in aerospace engineering and experience at various companies, he is known for his professionalism and strong relationships with colleagues.
Work at Rocket Lab
Dan Regan currently serves as a Senior Ground Software Engineer at Rocket Lab, a position he has held since 2023. He works in Denver, Colorado, contributing to the company's software engineering efforts. His role involves developing and maintaining ground software systems that support Rocket Lab's space missions.
Education and Expertise
Dan Regan earned a Bachelor of Science degree in Aerospace Engineering from the University of Illinois Urbana-Champaign, completing his studies from 2009 to 2013. He also holds a high school diploma from Wheaton Warrenville South High School, where he studied from 2004 to 2009. He is skilled in various programming languages and tools, including STK, Python, C#, TensorFlow, and OpenCV. His expertise extends to deep learning algorithms, particularly in the context of cooperative multi-spacecraft tasking and mission planning.
Background
Dan Regan has a diverse professional background in aerospace engineering and software development. He began his career at Ball Aerospace, where he held multiple positions, including Systems Engineer and Mission Systems Analyst. He also worked as a Ground Segment Engineer at Capella Space and served as a Technical Consultant and Director of Broken Circle Technologies. His experience spans over a decade, with a focus on systems engineering and software solutions.
Achievements
Dan Regan is recognized for his contributions to the aerospace field, particularly in software engineering and systems analysis. He is known for his exceptional skills in MATLAB, earning him the nickname 'MATLAB Ninja.' He has presented research on search optimization of multi-satellite Space Situational Awareness (SSA) constellations at the AFRL SSA conference in Maui, showcasing his expertise in the application of advanced algorithms in aerospace.