Marco A. Inzunza Ibarra
About Marco A. Inzunza Ibarra
Marco A. Inzunza Ibarra is a Research and Development Engineer at Sandia National Laboratories with extensive experience in optical communication, quantum computing, and machine learning.
Company
Marco A. Inzunza Ibarra is currently employed at Sandia National Laboratories as a Research and Development Engineer. He has been working in this role since 2022 in Albuquerque, New Mexico, United States.
Title
Marco A. Inzunza Ibarra holds the title of Research and Development Engineer. His role encompasses conducting advanced research and development, especially in the areas of optics, acoustics, and mechanical engineering.
Education and Expertise
Marco A. Inzunza Ibarra earned his Doctor of Philosophy (PhD) in Optics and Acoustics from the University of Colorado Boulder, where he studied from 2016 to 2021. He also holds a Master of Science (M.S.) degree in Mechanical Engineering from Boston University, obtained between 2014 and 2016. Furthermore, he achieved a Bachelor's degree in Mechanical Engineering, specializing in Design and Structural Analysis, from New Mexico State University, graduating in 2011.
Background
Marco A. Inzunza Ibarra has an extensive background in research and mechanical engineering. He previously worked at the University of Colorado Boulder as a Graduate Research Assistant from 2016 to 2021 and at Boston University in a similar role from 2014 to 2016. His career also includes a position as a Mechanical Engineer at MIT's Laboratory for Nuclear Science from 2013 to 2014. He has also worked as a Mechanical Engineer at Instituto Nacional de Investigaciones Agricolas from 2011 to 2012 and as a Research Assistant at New Mexico State University from 2010 to 2011.
Achievements
Marco A. Inzunza Ibarra has published multiple peer-reviewed research articles, significantly contributing to technical documentation in his field. His strong engineering skills in opto-mechanical system design, combined with hands-on and analytical expertise in experimental design, particularly in optics and acoustics, reflect his capability. Additionally, he has shown a strong interest in optical communication, quantum computing, FPGAs, real-time data acquisition, and machine learning, further showcasing his diverse skill set and dedication.