Luke Mc Hale
About Luke Mc Hale
Luke Mc Hale is a Senior Embedded System Engineer with a background in hardware engineering and a Ph.D. in Computer Engineering from Texas A&M University. He has extensive experience in various roles, including positions at IronNet Cybersecurity and Two Six Technologies, and specializes in network processor architectures and high-performance accelerator design.
Current Role at Two Six Technologies
Luke Mc Hale is currently employed as a Senior Embedded System Engineer at Two Six Technologies, a position he has held since 2023. His work is based in Arlington, Virginia. In this role, he focuses on developing advanced embedded systems, leveraging his extensive background in hardware engineering and system design.
Previous Experience at IronNet Cybersecurity
Prior to his current role, Luke Mc Hale worked at IronNet Cybersecurity as a Hardware Engineer from 2015 to 2019. During his four years in Tysons Corner, Virginia, he contributed to various hardware projects, enhancing his expertise in embedded systems and cybersecurity applications.
Educational Background in Computer Engineering
Luke Mc Hale studied Computer Engineering at Texas A&M University, where he earned a Doctor of Philosophy (Ph.D.) degree from 2012 to 2022. He also holds a Bachelor of Science degree in Computer Engineering from Virginia Tech, which he obtained from 2007 to 2012. His academic background has provided him with a strong foundation in both theoretical and practical aspects of computer engineering.
Research and Development Experience
Luke has a diverse background in research and development, having worked as a Principal Researcher at Flowgrammable from 2014 to 2020. His experience includes internships at various companies, such as NXP (acquired Freescale Semiconductor), Scitor Corporation, and Business and Engineering Systems Corporation, where he gained hands-on experience in hardware engineering and testing.
Areas of Specialization and Interest
Luke Mc Hale specializes in network processor architectures and programmable network data planes. He has a strong interest in high-performance accelerator design and heterogeneous systems. Additionally, he explores applications of neural networks in his work, integrating advanced computational techniques into embedded system designs.