Kris Brumbaugh
About Kris Brumbaugh
Kris Brumbaugh is a Machine Learning Scientist at Smiths Detection in the Baltimore, Maryland area, where he has worked since 2018. He has a strong background in physics, holding a Master's degree from Binghamton University and previous experience in imaging and applications engineering.
Work at Smiths Detection
Kris Brumbaugh has been employed at Smiths Detection since 2018, serving as a Machine Learning Scientist. In this role, he focuses on developing and implementing machine learning algorithms to enhance detection technologies. His work contributes to the company's mission of providing advanced security solutions. Smiths Detection operates in the Baltimore, Maryland area, where Brumbaugh has applied his expertise in machine learning to improve product offerings.
Previous Experience in Imaging Science
Before joining Smiths Detection, Kris Brumbaugh worked at Applied Vision as an Imaging Scientist from 2008 to 2018. During his ten years at the company, he specialized in imaging technologies and contributed to various projects aimed at improving visual inspection systems. His experience at Applied Vision provided him with a strong foundation in imaging science, which he has leveraged in his current role.
Early Career as Applications Engineer
Kris Brumbaugh began his career as an Applications Engineer at Nanometrics, where he worked from 2002 to 2005. In this position, he was responsible for supporting the application of measurement systems and ensuring customer satisfaction. This early experience helped him develop technical skills that would be beneficial in his later roles in imaging and machine learning.
Education and Expertise
Kris Brumbaugh holds a Master of Science (MS) in Physics from Binghamton University, where he studied from 2000 to 2002. He also earned a Bachelor of Science (BS) in Physics from Pennsylvania State University-Erie Campus, completing his degree from 1996 to 2000. His academic background in physics has provided him with a solid understanding of the principles underlying his work in machine learning and imaging technologies.