Matthew Feldman
About Matthew Feldman
Matthew Feldman is a Postdoctoral Research Associate at Oak Ridge National Laboratory, specializing in Bayesian statistics, machine learning, and quantum optics. He has a diverse background in electrical engineering and physics, with experience in various research and engineering roles, including a PhD candidacy at Vanderbilt University.
Work at Oak Ridge National Laboratory
Matthew Feldman has been serving as a Postdoctoral Research Associate at Oak Ridge National Laboratory since 2021. His role involves conducting advanced research in the field of quantum sensors, particularly focusing on the detection of dark matter. His work leverages his expertise in Bayesian statistics and machine learning, contributing to the laboratory's initiatives in quantum computing technologies.
Previous Experience at University of Florida
Before his current position, Matthew Feldman worked as a Research Assistant at the University of Florida from 2005 to 2006. During this 11-month tenure, he contributed to various research projects in the Gainesville, Florida area, gaining valuable experience in the field of electrical and computer engineering.
Education and Expertise
Matthew Feldman earned his Bachelor of Science in Electrical and Computer Engineering (BSEE) from the University of Florida, completing his studies from 2004 to 2008. He furthered his education at Vanderbilt University, where he was a PhD Candidate and NDSEG Fellow from 2015 to 2022. His academic focus includes quantum optics, specifically the use of squeezed light, and he has developed expertise in quantum computing technologies.
Professional Background
Matthew Feldman's professional background includes diverse roles in engineering and research. He worked as an Electrical Design Engineer at Philips from 2009 to 2012 and served as an Engineer at Dartmouth College from 2012 to 2015. Additionally, he gained experience as a Congressional Intern at the U.S. House of Representatives in 2009, providing him with insights into the intersection of technology and policy.
Research Focus and Contributions
Matthew Feldman focuses his research on the detection of dark matter using quantum sensors. He employs Bayesian statistics and machine learning techniques to enhance the accuracy and efficiency of his research projects. His work contributes to the advancement of quantum computing technologies, specifically in simulating quantum field theories.