Daniel Arnold

Daniel Arnold received the B.S. degree in mechanical engineering from the University of California, San Diego, in 2005, the M.S. degree in engineering science from the University of California, San Diego, in 2006. He received the Ph.D. degree from the Mechanical Engineering Department, University of California, Berkeley, in 2015. He is a Research Scientist with the Grid Integration Group, Lawrence Berkeley National Laboratory. From 2006 to 2009, he conducted research and development of unmanned underwater vehicles with the United States Navy, Space and Naval Warfare Center, San Diego, CA, USA. He was a 2015 ITRI-Rosenfeld Postdoctoral Fellow with Lawrence Berkeley National Laboratory. His research interests include the application of control, optimization, and machine learning techniques for electric grid resiliency and cyber security.