Christopher Lamb

Christopher Lamb

Distinguished Member Of Technical Staff @ Sandia National Labs

About Christopher Lamb

Christopher Lamb is a Distinguished Member of Technical Staff at Sandia National Laboratories and a Principal Software Engineer at Bluecom Systems, with extensive experience in software engineering and cognitive radio systems development.

Company

Christopher Lamb is currently working at Bluecom Systems in Albuquerque, New Mexico, United States. He holds the position of Principal Software Engineer since 2019. Bluecom Systems is involved in cutting-edge software solutions, and Christopher plays a key role in advancing their technological initiatives.

Title

Christopher Lamb is a Distinguished Member of Technical Staff at Sandia National Laboratories. He has held this position since 2008 and has contributed significantly to the organization's technical projects and research.

Education and Expertise

Christopher Lamb holds a PhD in Computer Engineering from The University of New Mexico, achieved from 2007 to 2012. He also earned an MS in Computer Science from the same university from 1999 to 2001. Earlier, he completed a BS in Mechanical Engineering from New Mexico State University from 1987 to 1993. His educational background underlines his extensive expertise in engineering and computer science.

Background

Christopher Lamb has an extensive career history spanning multiple reputable organizations. He worked at DZone Software as Zone Leader from 2015 to 2020. Before that, he was with Sandia National Laboratories as Principal Investigator for Advanced Simulation & Computing from 2005 to 2008, and prior to that as an Application Consultant VI at respec from 2004 to 2005. His early career includes roles such as Vice President and Manager of Software Engineering at Oso Grande Technologies and a Senior Software Engineer at Earthscan Network.

Achievements

Christopher Lamb leads a team in developing cognitive radio systems utilizing GNURadio, focusing primarily on the physical, data link, and transport layers. He has implemented learning components for these systems using Python and Tensorflow. Additionally, he has developed signal processing components with C++, showcasing his capability in blending software development with advanced signal processing techniques.

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