Bryce Ready
About Bryce Ready
Bryce Ready is a Senior Manager of Autonomy at May Mobility, where he has worked since 2021. He holds a PhD in Electrical Engineering from Brigham Young University and has extensive experience in scientific computing, radar-based navigation, and algorithm development.
Work at May Mobility
Bryce Ready has held the position of Senior Manager - Autonomy at May Mobility since 2021. His role focuses on advancing autonomous vehicle technologies. Based in Ann Arbor, Michigan, he has contributed to the company's mission of enhancing mobility solutions through innovative technologies.
Education and Expertise
Bryce Ready earned a Bachelor of Science in Electrical and Computer Engineering from California State University, Los Angeles, completing his studies from 1996 to 2000. He later pursued a PhD in Electrical Engineering at Brigham Young University, where he studied from 2004 to 2012. His research during his PhD focused on vision-assisted pose estimation for mini UAVs and filtering techniques for Riemannian Manifolds.
Background
Before joining May Mobility, Bryce Ready worked in various roles that enhanced his expertise in autonomy and algorithm development. He served as a Senior Algorithm Engineer at ZENUITY from 2018 to 2020 and as Program Manager / Algorithms Engineer at IMSAR from 2010 to 2018. His early career included a position as an Undergraduate Research Assistant at California State University, Los Angeles.
Research and Development Experience
Bryce Ready has managed significant research efforts in radar-based GPS-denied navigation at IMSAR LLC. His research experience encompasses video mosaicking, super-resolution image estimation, processor design, computer architecture, and compiler optimization techniques. He also worked as a Graduate Research Assistant at Brigham Young University's MAGICC Lab from 2004 to 2009.
Technical Skills
Bryce Ready is fluent in programming languages such as Python, C++, and MATLAB. He has extensive experience in scientific computing applications, utilizing libraries like numpy/scipy and matplotlib. His technical skills include software system architecture, interfaces, and processes, along with a deep familiarity with version control systems like git.