Corey Lowman
About Corey Lowman
Corey Lowman is a Senior Machine Learning Engineer at Lambda, where he has worked since 2023. He holds a Master of Science in Computer Science from The Johns Hopkins University and has extensive experience in machine learning and software engineering.
Work at Lambda
Corey Lowman has been employed at Lambda as a Senior Machine Learning Engineer since 2023. In this role, he focuses on developing innovative software solutions that support machine learning researchers in achieving their project goals. His contributions are aimed at enhancing the capabilities of machine learning applications.
Education and Expertise
Corey Lowman holds a Master of Science in Computer Science from The Johns Hopkins University, where he studied from 2016 to 2019. He also earned a Bachelor of Science in Mathematics and Computer Science from the University of Maryland, completing his studies from 2011 to 2015. His academic background provides a strong foundation for his work in machine learning and software engineering.
Background
Corey Lowman has a diverse professional background in software engineering and machine learning. He worked at The Johns Hopkins University Applied Physics Laboratory in various roles, including Software Engineer and Machine Learning Engineer, from 2015 to 2022. He also gained experience as a Software Engineer Intern at Booz Allen Hamilton and as a Software Development Intern at ITS - Internet Testing Systems.
Achievements
Corey Lowman has developed a deep learning software library in Rust, showcasing his strong mathematical skills and programming expertise. He has also served as a Senior Machine Learning Engineer at Neural Magic from 2022 to 2023. His commitment to mentoring others reflects his dedication to the field of software engineering and machine learning.
Research and Interests
Corey Lowman actively engages in reading and writing research papers to deepen his understanding of deep learning. He has a keen interest in compilers, rendering algorithms, and game playing algorithms. His passion for mentoring others highlights his commitment to sharing knowledge and helping others navigate complex software engineering concepts.