Hayes Stripling
About Hayes Stripling
Hayes Stripling is a Research Engineer at ExxonMobil with a background in nuclear engineering and experience in applied statistics, uncertainty quantification, and mathematics.
Current Role at ExxonMobil
Hayes Stripling is currently working as a Research Engineer at ExxonMobil in Houston, Texas. He started this role in 2013 and continues to contribute to research and development within the energy sector. His work involves applying advanced engineering principles and conducting research to support ExxonMobil's various projects and initiatives.
Previous Professional Experience
Before his current role, Hayes Stripling briefly worked as a Reservoir Engineer at ExxonMobil in 2018. He also gained significant experience at national laboratories, including a 3-month internship at Argonne National Laboratory in 2011, where he worked on mathematics and computer science projects. Additionally, he worked for 3 months at Lawrence Livermore National Laboratory in 2010 focusing on applied statistics and uncertainty quantification.
Education and Academic Background
Hayes Stripling holds a Ph.D. in Nuclear Engineering from Texas A&M University, where he was a Ph.D. Candidate from 2009 to 2013. He also earned a Bachelor of Science degree in Nuclear Engineering from Texas A&M University, completing his undergraduate studies from 2005 to 2009. His academic background is strong in areas such as nuclear engineering and advanced research skills developed during his Ph.D. candidacy.
Industry Expertise and Experience
With experience in the energy industry dating back to at least 2013, Hayes Stripling has developed expertise in both research and practical applications within the sector. This includes extensive work in applied statistics, uncertainty quantification, and computer science, all of which he gained at respected institutions such as Lawrence Livermore National Laboratory and Argonne National Laboratory.
Internships at National Laboratories
During his career, Hayes Stripling completed internships at two prominent national laboratories. In 2011, he was an intern at Argonne National Laboratory in the Mathematics and Computer Science division. In 2010, he worked at Lawrence Livermore National Laboratory, where he focused on applied statistics and uncertainty quantification. These experiences provided him with a solid foundation in advanced scientific methodologies and practical problem-solving skills.