Youngsoo Choi
About Youngsoo Choi
Youngsoo Choi is a Computational Scientist currently working at Lawrence Livermore National Laboratory since 2020. He has extensive experience in various roles, including optimization engineering and postdoctoral research, and holds a Ph.D. in Computational and Mathematical Engineering from Stanford University.
Current Role at Lawrence Livermore National Laboratory
Youngsoo Choi currently serves as a Computational Scientist at Lawrence Livermore National Laboratory. He has held this position since 2020, contributing to various projects in Livermore, California. His role involves applying computational techniques to solve complex scientific problems, leveraging his extensive background in optimization and engineering.
Previous Experience at Sandia National Laboratories
Prior to his current role, Youngsoo Choi worked as a Postdoctoral Fellow at Sandia National Laboratories from 2015 to 2017. During his two years in Livermore, California, he focused on advanced computational methods and contributed to research initiatives that align with national security and energy challenges.
Teaching and Research at Stanford University
Youngsoo Choi has extensive teaching and research experience at Stanford University. He served as an Instructor multiple times between 2011 and 2015, and worked as a Research Assistant from 2009 to 2012. His roles involved mentoring students and conducting research in computational and mathematical engineering, enhancing the academic environment at Stanford.
Educational Background in Engineering
Youngsoo Choi holds a Doctor of Philosophy (Ph.D.) in Computational and Mathematical Engineering from Stanford University, which he completed from 2007 to 2012. He also earned a Bachelor of Applied Science (B.A.Sc.) in Civil and Environmental Engineering from Cornell University between 2004 and 2007, and an Associate of Science (A.S.) in Engineering from Montgomery County Community College from 2002 to 2004.
Interdisciplinary Interests and Skills
Youngsoo Choi has a strong interest in interdisciplinary fields, integrating humanities, history, and religion with scientific disciplines such as artificial intelligence and bioinformatics. He is committed to continuous personal and professional development, enjoys tackling challenging projects, and possesses strong communication and problem-solving skills.