Warren Davis
Biography
Dr. Warren L. Davis IV is a Principal Member of Technical Staff in the Scalable Analysis and Visualization department in the Center for Computing Research at Sandia National Laboratories. He received his Ph.D. in computer science from Florida State in 2006, gaining industry experience as a graduate intern at both the National Astronomical Observatory of Japan in Tokyo and the IBM Almaden Research Center, where he was hired as a Research Staff Member after graduation.
At Sandia, Warren has led research projects such as Hybrid Methods for Cybersecurity Analysis and Machine Learning in Adversarial Environments, laboratory directed research projects which had significant impact on cyber operations at the lab. In addition, he is the PI for the Machine Learning for Intelligent Data Capture on Exascale Platforms research project for the DOE ASCR program. Warren has published journal articles and conference papers in foundational artificial intelligence research as well as machine learning applied to scientific and engineering domains. He was awarded the 2019 Black Engineer of the Year Award in Research Leadership.
At Sandia, Warren has led research projects such as Hybrid Methods for Cybersecurity Analysis and Machine Learning in Adversarial Environments, laboratory directed research projects which had significant impact on cyber operations at the lab. In addition, he is the PI for the Machine Learning for Intelligent Data Capture on Exascale Platforms research project for the DOE ASCR program. Warren has published journal articles and conference papers in foundational artificial intelligence research as well as machine learning applied to scientific and engineering domains. He was awarded the 2019 Black Engineer of the Year Award in Research Leadership.
Presentations
Minisymposium
CS and Math
Emerging Applications
Climate and Weather
Physics
Engineering