Melissa Stockman is a DevOps Software Engineer in the tools group at the Energy Sciences Network (ESnet) in the Scientific Networking Division of the Computing Sciences Directorate of the Lawrence Berkeley National Laboratory. She focuses on network automation and network analytics. Prior to joining Esnet, she was a software engineer in the U.S. for 8 years before moving to Beirut, Lebanon and becoming the Director of IT Infrastructure and Support at the Lebanese American University for 9 years. She went on to receive her PhD in 2014 with her research concentrating on utilizing machine learning to predict power optimal microarchitectural configurations on adaptable processors. She has used machine learning on a wide variety of problems with specific concentration on support vector machines.
She has a Bachelor of Arts degree in Mathematics from New York University, a Master of Science degree in Computer Science from George Mason University and a PhD. in Electrical and Computer Engineering from the American University of Beirut.