Chris Faucett

Chris Faucett

R&D Nuclear Engineer @ Sandia National Labs

About Chris Faucett

Chris Faucett is an R&D Nuclear Engineer at Sandia National Laboratories with a comprehensive academic background in Nuclear Engineering from Texas A&M University.

Company

Chris Faucett currently works at Sandia National Laboratories as an R&D Nuclear Engineer. He first joined Sandia National Laboratories in 2016 as a Summer Intern for a period of 7 months.

Title

Chris Faucett holds the title of R&D Nuclear Engineer at Sandia National Laboratories, a role he has been serving in since his first involvement in 2016.

Education and Expertise

Chris Faucett has an extensive educational background in Nuclear Engineering, all from Texas A&M University. He earned his Doctor of Philosophy (Ph.D.) in Nuclear Engineering from 2019 to 2022, a Master of Nuclear Engineering (ME) from 2014 to 2016, and dual Bachelor of Science degrees in Nuclear Engineering and Radiological Health Engineering, completed from 2009 to 2014.

Background

Chris Faucett has gathered diverse experience in both academic and professional settings. Prior to his current role at Sandia National Laboratories, he worked as a Teaching Assistant and Research Assistant at Texas A&M University. His roles included investigating the proliferation attractiveness of microreactors and developing insights into heat pipe microreactor severe accident source term uncertainty drivers using a dataset of over 6000 simulations.

Achievements

Chris Faucett has been designated by Sandia National Laboratories for knowledge transfer and is on track to become a subject matter expert and program lead in nuclear facility decommissioning. He has planned and directed a team studying the proliferation attractiveness of microreactors and has received significant funding through the Nuclear Energy University Program (NEUP) to develop a safety/security risk-informed physical protection system design methodology. Additionally, he leads a cross-departmental machine learning team working on optimizing information content from long-running hydrocode simulations.

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