Warren Davis
About Warren Davis
Warren Davis is a Principal Member of Technical Staff at Sandia National Laboratories with a background in computer science and national security policy studies.
Current Position at Sandia National Laboratories
Warren Davis currently holds the position of Principal Member Of Technical Staff at Sandia National Laboratories in Albuquerque, New Mexico. He has been with the laboratory since 2009, where he has been heavily involved in a variety of technical research initiatives. His work spans a multitude of disciplines, leveraging his extensive background in computer science and national security policy studies.
Previous Experience at IBM
Before his current role, Warren Davis worked at IBM as a Research Staff Member from 2006 to 2009. During his tenure at IBM, he was also a Summer Intern on two separate occasions, in 2006 and 2005. His time at IBM provided foundational experience in research and technical development, which he has continued to build upon throughout his career.
Educational Background and Advanced Studies
Warren Davis pursued extensive higher education, beginning with a B.S. in Computer Science from The University of Alabama, completed between 1991 and 1996. He continued to advance his expertise by earning an M.S. and a Ph.D. in Computer Science from Florida State University, where he studied from 1996 to 2006. Additionally, he obtained a Master of Science in National Security Policy Studies from the University of New Haven, graduating in 2017 after five years of study.
Research and Technological Contributions
Davis has contributed to a variety of multidisciplinary research projects, including work in fluid dynamics and computational biology. His expertise extends to applying machine learning techniques to address cybersecurity challenges and utilizing deep learning methods for image recognition tasks. Additionally, he engages in text analytics research to enhance data interpretation and insights. His research particularly focuses on anomaly detection methods aimed at improving data security and integrity.